We are looking for a Director, Field Engineering in London to join our world-class hypergrowth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our UK&I expansion in the travel, manufacturing, energy, communications, media and entertainment business. Your experience in partnering with Sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the AVP, Field Engineering Northern Europe. The impact you will have: Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture Support increased return on investment of Solutions Architect involvement in sales cycles Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts Promote a solution and value-based selling field-engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team What we look for: 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region Ability to elevate the engagement with a track record of driving large transactions and high growth customers Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach Proven track record of transformational success and delivery of customer value Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing) Experience in complex strategic accounts generating +$1M ARR Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models Great at instituting processes for technical field members to improve efficiency Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Benefits (United Kingdom) Private medical insurance Health Cash Plan Life, income protection & critical illness insurance Pension Plan Equity awards Enhanced Parental Leaves Fitness reimbursement Home office & work headphones reimbursement Mental wellness resources Employee referral bonus About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
May 17, 2024
Full time
We are looking for a Director, Field Engineering in London to join our world-class hypergrowth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our UK&I expansion in the travel, manufacturing, energy, communications, media and entertainment business. Your experience in partnering with Sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the AVP, Field Engineering Northern Europe. The impact you will have: Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture Support increased return on investment of Solutions Architect involvement in sales cycles Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts Promote a solution and value-based selling field-engineering organisation Display an understanding of business needs and revenue potential for accounts in the assigned region Build Databricks' brand in UK&I in partnership with the Marketing and Sales team What we look for: 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region Ability to elevate the engagement with a track record of driving large transactions and high growth customers Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach Proven track record of transformational success and delivery of customer value Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing) Experience in complex strategic accounts generating +$1M ARR Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models Great at instituting processes for technical field members to improve efficiency Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Benefits (United Kingdom) Private medical insurance Health Cash Plan Life, income protection & critical illness insurance Pension Plan Equity awards Enhanced Parental Leaves Fitness reimbursement Home office & work headphones reimbursement Mental wellness resources Employee referral bonus About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
We are hiring a Senior Staff Software Engineer/Principal Software Engineer for Databricks' Engineering team reporting to an Engineering Leader.You will be part of the Databricks engineering organization, working on one the most important products here within Databricks while working with teams that develop Databricks products and features for thousands of enterprises worldwide as well. As a software engineer, you will join as a founding member of our Berlin site (fully remote) but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed). Key Characteristics As an engineer at Databricks, you will build the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: 15+ years industry experience building and supporting large-scale distributed systems. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. Comprehensive health coverage including medical, dental, and vision Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Employee Assistance Program (EAP) Mental wellness resources About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
May 17, 2024
Full time
We are hiring a Senior Staff Software Engineer/Principal Software Engineer for Databricks' Engineering team reporting to an Engineering Leader.You will be part of the Databricks engineering organization, working on one the most important products here within Databricks while working with teams that develop Databricks products and features for thousands of enterprises worldwide as well. As a software engineer, you will join as a founding member of our Berlin site (fully remote) but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values (own-it, data decide, teamwork, customer-obsessed). Key Characteristics As an engineer at Databricks, you will build the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement & optimization on large production clusters. Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. Introduce tools to allow greater automation and operability of services. Use your deep experience to help prevent and investigate production issues. Plan and lead complicated technical projects that work with several teams within the company. Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What we look for: 15+ years industry experience building and supporting large-scale distributed systems. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. Strong foundation in algorithms and data structures and their real-world use cases. Experience driving company initiatives towards customer satisfaction. BS/MS/PhD in Computer Science or related majors, or equivalent experience. Comprehensive health coverage including medical, dental, and vision Equity awards Flexible time off Paid parental leave Family Planning Gym reimbursement Employee Assistance Program (EAP) Mental wellness resources About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
May 15, 2024
Full time
A Senior Data Engineer required by this leading research and analytics vendor to join an existing Data engineering/product function as they look to continually improve their product and application suite. As a senior member of the data practice you will - Promote best practice for data related projects Mentoring engineers Coordinating resources Aim for continuous improvement of the team Innovate with the use of new technologies Ideally you can demonstrate experience across a breadth of tools and technologies, including - Demonstrable professional Data experience Experience of working with semi or unstructured data sets like JSON Excellent understanding of DataBricks and PySpark Excellent understanding of SQL and CosmosDB databases Excellent knowledge of designing, constructing, administering, and maintaining data warehouses and data lakes. Knowledge of Azure Cloud Services Good understanding T-SQL programming Good exposure to Azure Data Lake technologies such as ADF, HDFS and Synapse Good knowledge of Data Governance, Data Catalog, Master Data Management Knowledge of Advanced Analytics and Model Management including Azure Databricks, Azure ML/MLFlow as well as deployment of models using Azure Kubernetes Service Please contact me for a full spec and discussion around the role, company, growth prospects and how you can contribute to the future of the business
Senior BI Developer - London - 75,000 I am working with a hugely successful, global organisation who are looking to add a Senior BI Developer to their growing London based data team. This organisation have recently implemented a brand new data platform encompassing the full Microsoft Azure Stack including leveraging Databricks in order to deliver on its goal of becoming truly data driven. In this role you will be responsible for the BI and data engineering lifecycle across the business supporting the global data needs of various business functions. This role is a split between data engineering and data analytics and you will take a prominent role on a number of exciting projects. You will be joining a business that values its people at the centre of everything they do. They are looking to expand their close-knit data team where everyone will work collaboratively and share expertise and experiences. This a great time to join a well established organisation, at a time of great investment and work with some of the latest Azure technologies. As part of this role, you will also be responsible for some of the following: Design, develop and maintain data pipelines that are responsible for the ingestion and transformation of data between different sources Create and develop data models The creation of insightful and accurate data visuals/reports/dashboards Work closely with stakeholders from different departments to ensure their data needs can be met This is a salaried role paying up to 75,000 per annum as a base salary depending on experience. This is a hybrid role, where you will work 3 days from the companies central London based office. There is also a company benefits packages which includes - 10% performance related bonus scheme 8% company pension contribution Private medical insurance 25 days annual leave plus bank holidays To be successful in this role you will have. Strong experience creating data pipelines using Azure Data Factory Experience working with the Microsoft Azure stack including databricks for data transformation Experience using Power BI to create custom visualisations Strong SQL skills This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! Nigel Frank International are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment.
May 13, 2024
Full time
Senior BI Developer - London - 75,000 I am working with a hugely successful, global organisation who are looking to add a Senior BI Developer to their growing London based data team. This organisation have recently implemented a brand new data platform encompassing the full Microsoft Azure Stack including leveraging Databricks in order to deliver on its goal of becoming truly data driven. In this role you will be responsible for the BI and data engineering lifecycle across the business supporting the global data needs of various business functions. This role is a split between data engineering and data analytics and you will take a prominent role on a number of exciting projects. You will be joining a business that values its people at the centre of everything they do. They are looking to expand their close-knit data team where everyone will work collaboratively and share expertise and experiences. This a great time to join a well established organisation, at a time of great investment and work with some of the latest Azure technologies. As part of this role, you will also be responsible for some of the following: Design, develop and maintain data pipelines that are responsible for the ingestion and transformation of data between different sources Create and develop data models The creation of insightful and accurate data visuals/reports/dashboards Work closely with stakeholders from different departments to ensure their data needs can be met This is a salaried role paying up to 75,000 per annum as a base salary depending on experience. This is a hybrid role, where you will work 3 days from the companies central London based office. There is also a company benefits packages which includes - 10% performance related bonus scheme 8% company pension contribution Private medical insurance 25 days annual leave plus bank holidays To be successful in this role you will have. Strong experience creating data pipelines using Azure Data Factory Experience working with the Microsoft Azure stack including databricks for data transformation Experience using Power BI to create custom visualisations Strong SQL skills This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! Nigel Frank International are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment.
Big Data Engineer · Financial Market Sector · £65-75k PA · London offices / Hybrid working Intro context: Are you looking to work in an increasingly competitive market? With data being essential to improving business decisions in providing customer service. Through strategic data, we want to establish a strong data platform that meets the data provisioning needs of consumers. through a cloud first approach, we're able to provide on demand performance and reduce time to market applying solid methodologies and automation. Reporting to the Senior Data Engineering Lead. The role requires interaction with all areas of the Business and close collaboration with other IT departments. KEY RESPONSIBILITIES & ACCOUNTABILITIES ·Translate raw data into usable datasets to support business requirements. ·Deliver robust, high-performing and scalable solutions for loading, transforming and processing company data. ·Develop adhering to the current development best practices whilst contributing to the continual improvement of these practices. ·Maintain formal data and metadata structures (lineage) to support integrity and searchability of information via a data dictionary. ·Provide handover documentation for delivered solutions. ·Working collaboratively with: ·the data engineer lead to understanding policy and strategies ·our data architect to define and build data marts ·our data platform team to ensure high level of performance and provide support for delivered solutions ·Provide consultation to Project Managers, Business Analysts and Managers around current processes, best practices and ideas to solve business challenges In addition, this will: · Reduce Costs and Grow our business - Proactively identify and act on opportunities to reduce waste, improve efficiency, increase productivity and grow our business. · Play my part in embedding the Blueprint Behaviours and put the customer at the centre of everything we do - Actively ensure the behaviours we have committed to as an organisation are demonstrated, reinforced and recognised in my own area of influence · Risk Management - Identify, assess, document, manage, escalate and report the risks associated with my role and business area, ensuring an appropriate control environment Foundational skills: ·Deliver high-performing and scalable data pipelines for loading, transforming and processing structured and semi structured data using near real time and batch processing connecting to multiple data sources and populating multiple targets on-prem and cloud. ·Working collaboratively with: oOur Principal and Lead data engineer to understanding policy and strategies oour Data Architect to define and build data marts oour Data Platform team to ensure high level of performance and provide support for delivered solutions. Note: Support for delivered solutions will fall in remit of RUN team but support skills are expected to continue Level 1 to Level 3 for a period of time. ·Provide handover documentation for delivered solutions and consultation to Project Managers, Business Analysts and Managers around current processes and ideas to solve business challenges Development focused skills: ·Ensure adherence to current development best practices and active contribution to the evolution of setting standards and improve development methodologies ·Maintain formal data and metadata structures (lineage) to support integrity and searchability of information via a data dictionary ·Create re-usable metadata driven data pipelines which can be leveraged for future development. ·Strong knowledge and 3+ years development experience of Big Data technologies such as Nifi, Azure Data Factory, Hive, Spark, Kafka, HBase ·5+ years' Experience of end-to-end implementation of Data Engineering and Analytics over a Cloud infrastructure, preferably with Azure. Technically versatile with Azure offerings including Databricks or Spark, Azure Data Factory, Blob storage, Azure Data Lake ·Experience developing data pipelines using agile & DevOps. ·Strong troubleshooting, performance tuning, Security awareness APPLICATION OF KNOWLEDGE, PROBLEM SOLVING & INNOVATION Ensure all data transformations are recorded to support data lineage. ·Continue research and learning of data engineering tool and capabilities to improve the time to market and maintainability of the data solutions. ·Challenge status quo and explore alternatives. ·Understand and apply regulatory and compliance considerations to all data processing solutions, GDPR and PCI. ·Contribute to Agile ALM including refinement, planning, release and retrospective sessions ·Promote and emphasize a test strong framework and automation to support CI and CD Embraces and drives a continuous learning culture where the development of new skills and knowledge is paramount to the success of their role and career. In particular, a strong focus around data governance. INTERACTION/INTERPERSONAL SKILLS ·Sharing knowledge and experience with Data Engineers. ·Liaise with Data Integration Engineers, Data Engineers and Data architect to improve solution design. ·Communicate changes through Change Management processes ·Escalate issues, delays and concerns to the Data Engineer Lead and relevant Business stakeholders Occasional travel to other sites to engage with business analysts in understanding their requirements working conditions ·37.5 hours per week. Based in London with occasional attendance in other locations as and when required ·Owing to present Covid restrictions this role will need the candidate working remotely from home interim. Necessary guidance, equipment and accesses will be provided Next steps - how to apply? If this is something you wish to be considered for? Or require more information about the role? Please Apply now.
Feb 25, 2022
Full time
Big Data Engineer · Financial Market Sector · £65-75k PA · London offices / Hybrid working Intro context: Are you looking to work in an increasingly competitive market? With data being essential to improving business decisions in providing customer service. Through strategic data, we want to establish a strong data platform that meets the data provisioning needs of consumers. through a cloud first approach, we're able to provide on demand performance and reduce time to market applying solid methodologies and automation. Reporting to the Senior Data Engineering Lead. The role requires interaction with all areas of the Business and close collaboration with other IT departments. KEY RESPONSIBILITIES & ACCOUNTABILITIES ·Translate raw data into usable datasets to support business requirements. ·Deliver robust, high-performing and scalable solutions for loading, transforming and processing company data. ·Develop adhering to the current development best practices whilst contributing to the continual improvement of these practices. ·Maintain formal data and metadata structures (lineage) to support integrity and searchability of information via a data dictionary. ·Provide handover documentation for delivered solutions. ·Working collaboratively with: ·the data engineer lead to understanding policy and strategies ·our data architect to define and build data marts ·our data platform team to ensure high level of performance and provide support for delivered solutions ·Provide consultation to Project Managers, Business Analysts and Managers around current processes, best practices and ideas to solve business challenges In addition, this will: · Reduce Costs and Grow our business - Proactively identify and act on opportunities to reduce waste, improve efficiency, increase productivity and grow our business. · Play my part in embedding the Blueprint Behaviours and put the customer at the centre of everything we do - Actively ensure the behaviours we have committed to as an organisation are demonstrated, reinforced and recognised in my own area of influence · Risk Management - Identify, assess, document, manage, escalate and report the risks associated with my role and business area, ensuring an appropriate control environment Foundational skills: ·Deliver high-performing and scalable data pipelines for loading, transforming and processing structured and semi structured data using near real time and batch processing connecting to multiple data sources and populating multiple targets on-prem and cloud. ·Working collaboratively with: oOur Principal and Lead data engineer to understanding policy and strategies oour Data Architect to define and build data marts oour Data Platform team to ensure high level of performance and provide support for delivered solutions. Note: Support for delivered solutions will fall in remit of RUN team but support skills are expected to continue Level 1 to Level 3 for a period of time. ·Provide handover documentation for delivered solutions and consultation to Project Managers, Business Analysts and Managers around current processes and ideas to solve business challenges Development focused skills: ·Ensure adherence to current development best practices and active contribution to the evolution of setting standards and improve development methodologies ·Maintain formal data and metadata structures (lineage) to support integrity and searchability of information via a data dictionary ·Create re-usable metadata driven data pipelines which can be leveraged for future development. ·Strong knowledge and 3+ years development experience of Big Data technologies such as Nifi, Azure Data Factory, Hive, Spark, Kafka, HBase ·5+ years' Experience of end-to-end implementation of Data Engineering and Analytics over a Cloud infrastructure, preferably with Azure. Technically versatile with Azure offerings including Databricks or Spark, Azure Data Factory, Blob storage, Azure Data Lake ·Experience developing data pipelines using agile & DevOps. ·Strong troubleshooting, performance tuning, Security awareness APPLICATION OF KNOWLEDGE, PROBLEM SOLVING & INNOVATION Ensure all data transformations are recorded to support data lineage. ·Continue research and learning of data engineering tool and capabilities to improve the time to market and maintainability of the data solutions. ·Challenge status quo and explore alternatives. ·Understand and apply regulatory and compliance considerations to all data processing solutions, GDPR and PCI. ·Contribute to Agile ALM including refinement, planning, release and retrospective sessions ·Promote and emphasize a test strong framework and automation to support CI and CD Embraces and drives a continuous learning culture where the development of new skills and knowledge is paramount to the success of their role and career. In particular, a strong focus around data governance. INTERACTION/INTERPERSONAL SKILLS ·Sharing knowledge and experience with Data Engineers. ·Liaise with Data Integration Engineers, Data Engineers and Data architect to improve solution design. ·Communicate changes through Change Management processes ·Escalate issues, delays and concerns to the Data Engineer Lead and relevant Business stakeholders Occasional travel to other sites to engage with business analysts in understanding their requirements working conditions ·37.5 hours per week. Based in London with occasional attendance in other locations as and when required ·Owing to present Covid restrictions this role will need the candidate working remotely from home interim. Necessary guidance, equipment and accesses will be provided Next steps - how to apply? If this is something you wish to be considered for? Or require more information about the role? Please Apply now.
Senior Data Engineer It's an exciting time for us as we continue to transform our business, to meet out Pricing, Data and Analytics strategic ambitions. We're looking for people with a curious mindset and customer focus to join us on our journey. The role Collaborating with some of the sharpest minds in the industry, our team of Data Engineers, Actuaries, Data Science and Pricing professionals are working together to leverage powerful insights. You'll be developing, maintaining, and improving both existing and new processes for data ingestion to build new cloud architecture. Based either remotely, or in our London or Bexhill offices with flexible working available. How you will make a difference: Managing large data engineering projects from inception to completion, including management of other team members' tasks. Developing, constructing and testing our architectures and databases. Set up automated data pipelines to deliver regular extracts and reports with minimal user intervention. Interrogate data issues to help drive continuous improvement in data quality. Investigate and evaluate new tools and techniques to support data processing, analytics and self service What we're looking for: As a leading insurer this role is critical to our delivery and success - it will be exciting, busy, varied and challenging so a roll sleeves up, hands-on approach is important. You will have an excellent understanding of data engineering, database architecture and querying using SQL. You will have a minimum of 3 years programming experience using languages such as SQL and R/Python You will have enthusiasm for innovation with a proven track record of researching and identifying optimum tools and methods for solving complex data problems. Experience working with Snowflake, Azure, Databricks or Hadoop would be advantageous. What we will give you: We've got big growth plans for our business, joining our Pricing Data and Analytics team will be like joining a new start up that happens to be attached to a growing and successful motor insurer with the capital needed to invest and succeed in analytical expertise. This a real opportunity to make the role your own, whilst making a difference in a fast-paced, flexible and delivery focussed environment. A real opportunity to get involved with exciting projects in a fast-paced, creative and customer focussed environment Highly competitive basic salary £5k P/A car allowance Pension 1:1 match up to 10% Up to 10% bonus earning potential 27 days annual leave Life assurance Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
Dec 02, 2021
Full time
Senior Data Engineer It's an exciting time for us as we continue to transform our business, to meet out Pricing, Data and Analytics strategic ambitions. We're looking for people with a curious mindset and customer focus to join us on our journey. The role Collaborating with some of the sharpest minds in the industry, our team of Data Engineers, Actuaries, Data Science and Pricing professionals are working together to leverage powerful insights. You'll be developing, maintaining, and improving both existing and new processes for data ingestion to build new cloud architecture. Based either remotely, or in our London or Bexhill offices with flexible working available. How you will make a difference: Managing large data engineering projects from inception to completion, including management of other team members' tasks. Developing, constructing and testing our architectures and databases. Set up automated data pipelines to deliver regular extracts and reports with minimal user intervention. Interrogate data issues to help drive continuous improvement in data quality. Investigate and evaluate new tools and techniques to support data processing, analytics and self service What we're looking for: As a leading insurer this role is critical to our delivery and success - it will be exciting, busy, varied and challenging so a roll sleeves up, hands-on approach is important. You will have an excellent understanding of data engineering, database architecture and querying using SQL. You will have a minimum of 3 years programming experience using languages such as SQL and R/Python You will have enthusiasm for innovation with a proven track record of researching and identifying optimum tools and methods for solving complex data problems. Experience working with Snowflake, Azure, Databricks or Hadoop would be advantageous. What we will give you: We've got big growth plans for our business, joining our Pricing Data and Analytics team will be like joining a new start up that happens to be attached to a growing and successful motor insurer with the capital needed to invest and succeed in analytical expertise. This a real opportunity to make the role your own, whilst making a difference in a fast-paced, flexible and delivery focussed environment. A real opportunity to get involved with exciting projects in a fast-paced, creative and customer focussed environment Highly competitive basic salary £5k P/A car allowance Pension 1:1 match up to 10% Up to 10% bonus earning potential 27 days annual leave Life assurance Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
With a collaborative ethos, our Senior Data Scientist helps the organisations we work with become truly 'insight driven', by fully exploiting their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. This role sits within our Artificial Intelligence & Analytics team, we want passionate, energetic people who live and breathe all things AI, whether that be machine learning, deep learning, computer vision and so on, combined with great software engineering skills…no point creating great models if we can't deploy them! We want you to be thinking "how can I use what I know?", "what do I need to learn?" in order to help your client achieve their business goals. Why You? We are looking to bring in people at all levels, so whilst the list of skills below is fairly heavy, please do get in touch even if you only have two or three. Detailed knowledge on a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data and Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming) Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment.Potential is just as important to us as having the required skills. If you have the right mindset, we might be able to provide you with bespoke training. So, if you're not sure you have all the skills you need, but you're still passionate about the role, please apply and we'll see if we can support you.
Mar 24, 2021
Full time
With a collaborative ethos, our Senior Data Scientist helps the organisations we work with become truly 'insight driven', by fully exploiting their data using the convergence of Cloud and Artificial Intelligence to deliver real business value. This role sits within our Artificial Intelligence & Analytics team, we want passionate, energetic people who live and breathe all things AI, whether that be machine learning, deep learning, computer vision and so on, combined with great software engineering skills…no point creating great models if we can't deploy them! We want you to be thinking "how can I use what I know?", "what do I need to learn?" in order to help your client achieve their business goals. Why You? We are looking to bring in people at all levels, so whilst the list of skills below is fairly heavy, please do get in touch even if you only have two or three. Detailed knowledge on a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using Python, R or Spark to extract insights from data and Knowledge of SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming) Experience using development and deployment technologies, for instance virtualisation and management (e.g. Vagrant, Virtualbox), continuous integration tools (e.g. Jenkins, Concourse, Drone, Bamboo), configuration management tooling (e.g. Ansible) and containerisation technologies (e.g. Docker, Kubernetes, Swarm) Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Why us? While we're a global consultancy, we're made up of supportive, close-knit communities. Everyone wants to get the best solutions for our customers and create the best working environment.Potential is just as important to us as having the required skills. If you have the right mindset, we might be able to provide you with bespoke training. So, if you're not sure you have all the skills you need, but you're still passionate about the role, please apply and we'll see if we can support you.
Are you a passionate and confident Cyber Security Business Analyst, ready to make a significant contribution working for one of the UK's fastest growing Financial Services Organisations? Then read on... MHC are an award-winning IT and Business Consultancy, specialising in Change Management initiatives, which we deliver working in a collaborative way with our Clients. We are currently working on a wide variety of assignments that include some major Digital Transformation initiatives, Regulatory and Compliance Programmes and Tools adoption projects where we are providing specialist technical and business services to a client base of primarily Tier 1 clients Objectives of the role: Reporting in to CSMIP Transformation and working in close partnership with the Technical Project Manager, Science & Analytics Tower Leads and Technical Principals, the Business Analyst will be responsible for working with the PM and Product Owner(s) to: craft user stories that deliver the value for customers and enable the project to meet its objectives; lead design work including but not limited to taxonomies, process design, visualisations, and reports; provide business analysis through the course of the agile project life cycle; participate in scrums as part of a cross-functional team; and lead assigned tasks and activities as required. This role requires an a bility to work adaptably within a fast-paced and maturing agile environment; a strong focus on delivering value to stakeholders; and the ability to work autonomously, trusted to self-assign and complete tasks without close monitoring. The Technical BA will be responsible for support ing the Technical Project Manager and Science & Analytics Tower Leads with the ongoing definition and delivery activities for the project, to: Engage with Cyber, business and functional stakeholders to identify and collate business requirements and define value slices, epics and user stories including acceptance criteria Participate in the project scrum(s) as part of the cross-functional team Support PM and Product Owner(s) with prioritisation analysis and pipeline management Ensure project interfaces and touch po ints are defined and understood C apturing dependencies and risks to product delivery Undertake current and future state process mapping Solution analysis, design documentation and testing preparation as required Ensuring adherence to the banks policy, governance controls and design standards Deliver clear, engaging stakeholder communications Support transition to BAU including training and communications Support with technical solution presentations to senior Boards and approval committees Required Skills & Experience: Experience working as a true Business Analyst with in high performing project tea ms in complex technical programme s Prior experience as a Business Analyst within Highly Regulated organisations Knowledge of Agile delivery frameworks including experiencing working within Scrum teams Exceptional skills and experience in process design and visualisation Exceptional business and IT stakehold er management and communication skills Exceptional written documentation and attention to detail Desirable Skills & Experience: Kno wledge of Cybersecurity principles and controls An understanding of any of the following: Cybersecurity Threat Detection, Response and Preventio n, Data E ngineering (data parsing, enrichment, curation, question focused analytics, ETL, pipeline resiliency, etc.), building solutions in Azure using python/Java, Databricks/Spark, Synapse, and any other data engineering and visualization tools would strongly benefit this role Familiarity with using JIRA Degree in engineering, computer science, computer security, or similar experience
Jan 30, 2021
Contractor
Are you a passionate and confident Cyber Security Business Analyst, ready to make a significant contribution working for one of the UK's fastest growing Financial Services Organisations? Then read on... MHC are an award-winning IT and Business Consultancy, specialising in Change Management initiatives, which we deliver working in a collaborative way with our Clients. We are currently working on a wide variety of assignments that include some major Digital Transformation initiatives, Regulatory and Compliance Programmes and Tools adoption projects where we are providing specialist technical and business services to a client base of primarily Tier 1 clients Objectives of the role: Reporting in to CSMIP Transformation and working in close partnership with the Technical Project Manager, Science & Analytics Tower Leads and Technical Principals, the Business Analyst will be responsible for working with the PM and Product Owner(s) to: craft user stories that deliver the value for customers and enable the project to meet its objectives; lead design work including but not limited to taxonomies, process design, visualisations, and reports; provide business analysis through the course of the agile project life cycle; participate in scrums as part of a cross-functional team; and lead assigned tasks and activities as required. This role requires an a bility to work adaptably within a fast-paced and maturing agile environment; a strong focus on delivering value to stakeholders; and the ability to work autonomously, trusted to self-assign and complete tasks without close monitoring. The Technical BA will be responsible for support ing the Technical Project Manager and Science & Analytics Tower Leads with the ongoing definition and delivery activities for the project, to: Engage with Cyber, business and functional stakeholders to identify and collate business requirements and define value slices, epics and user stories including acceptance criteria Participate in the project scrum(s) as part of the cross-functional team Support PM and Product Owner(s) with prioritisation analysis and pipeline management Ensure project interfaces and touch po ints are defined and understood C apturing dependencies and risks to product delivery Undertake current and future state process mapping Solution analysis, design documentation and testing preparation as required Ensuring adherence to the banks policy, governance controls and design standards Deliver clear, engaging stakeholder communications Support transition to BAU including training and communications Support with technical solution presentations to senior Boards and approval committees Required Skills & Experience: Experience working as a true Business Analyst with in high performing project tea ms in complex technical programme s Prior experience as a Business Analyst within Highly Regulated organisations Knowledge of Agile delivery frameworks including experiencing working within Scrum teams Exceptional skills and experience in process design and visualisation Exceptional business and IT stakehold er management and communication skills Exceptional written documentation and attention to detail Desirable Skills & Experience: Kno wledge of Cybersecurity principles and controls An understanding of any of the following: Cybersecurity Threat Detection, Response and Preventio n, Data E ngineering (data parsing, enrichment, curation, question focused analytics, ETL, pipeline resiliency, etc.), building solutions in Azure using python/Java, Databricks/Spark, Synapse, and any other data engineering and visualization tools would strongly benefit this role Familiarity with using JIRA Degree in engineering, computer science, computer security, or similar experience