Job Title: Quantexa Data Engineer (Scala/Spark) Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is investing in a major Quantexa-led financial crime and AML transformation programme and is looking for a hands-on Quantexa Data Engineer to join the team. This role will play a key part in building scalable data pipelines, cloud-based data solutions and entity resolution capabilities supporting AML outcomes across a global banking environment. You will work closely with technology, product and business stakeholders, helping to develop and enhance a new Quantexa capability across EMEA. Key Responsibilities: Design, build and optimise scalable data pipelines and ETL processes. Develop solutions using Scala, Spark, Python and SQL. Support the implementation and growth of the Quantexa platform. Build reusable frameworks and shared engineering capabilities. Work across Azure, Databricks and cloud-based data platforms. Ensure data quality, integrity, security and platform reliability. Support testing, deployment and automation activities. Collaborate with global teams to deliver high-quality solutions. Qualifications and Skills: Strong Data Engineering background. Hands-on experience with Scala and Spark. Experience with SQL and Python. Experience with Azure Data Factory, Azure Databricks and cloud data platforms. ETL and data pipeline development expertise. Experience with Elasticsearch, APIs and modern engineering practices. Exposure to Quantexa would be highly desirable. Financial Services experience beneficial but not essential. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
07/11/2026
Contractor
Job Title: Quantexa Data Engineer (Scala/Spark) Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is investing in a major Quantexa-led financial crime and AML transformation programme and is looking for a hands-on Quantexa Data Engineer to join the team. This role will play a key part in building scalable data pipelines, cloud-based data solutions and entity resolution capabilities supporting AML outcomes across a global banking environment. You will work closely with technology, product and business stakeholders, helping to develop and enhance a new Quantexa capability across EMEA. Key Responsibilities: Design, build and optimise scalable data pipelines and ETL processes. Develop solutions using Scala, Spark, Python and SQL. Support the implementation and growth of the Quantexa platform. Build reusable frameworks and shared engineering capabilities. Work across Azure, Databricks and cloud-based data platforms. Ensure data quality, integrity, security and platform reliability. Support testing, deployment and automation activities. Collaborate with global teams to deliver high-quality solutions. Qualifications and Skills: Strong Data Engineering background. Hands-on experience with Scala and Spark. Experience with SQL and Python. Experience with Azure Data Factory, Azure Databricks and cloud data platforms. ETL and data pipeline development expertise. Experience with Elasticsearch, APIs and modern engineering practices. Exposure to Quantexa would be highly desirable. Financial Services experience beneficial but not essential. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Job Title: Quantexa Data Engineering Lead Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is seeking a Quantexa Data Engineering Lead to drive the growth of a newly established Quantexa capability supporting AML and financial crime initiatives across EMEA. This is a hands-on technical leadership role that combines team leadership, stakeholder engagement and solution delivery. The successful candidate will lead a small team of Data Engineers while remaining actively involved in solution design, development and implementation. You will help shape the strategic direction of the Quantexa platform whilst ensuring successful delivery across a global programme. Key Responsibilities: Lead and mentor a team of Quantexa Data Engineers across EMEA. Act as the senior technical point of contact for the Quantexa platform. Design, build and optimise scalable data pipelines and ETL processes. Provide hands-on development using Scala, Spark, Python and SQL. Partner with technology, product and business stakeholders. Drive best practice across engineering, testing, deployment and platform support. Support the continued rollout and adoption of Quantexa across the organisation. Contribute to cloud architecture leveraging Azure and Databricks. Qualifications and Skills: Proven Data Engineering leadership experience. Working knowledge of Quantexa is required. Strong hands-on experience with Scala and Spark. Excellent knowledge of ETL, data architecture and cloud data platforms. Experience with Azure Data Factory, Azure Databricks and SQL. Strong stakeholder management and communication skills. Experience operating within Financial Services environments. Ability to balance technical leadership with hands-on delivery.Proficient in tools such as Jira and Confluence. Strong analytical skills for diagnosing and troubleshooting system issues. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
07/11/2026
Contractor
Job Title: Quantexa Data Engineering Lead Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is seeking a Quantexa Data Engineering Lead to drive the growth of a newly established Quantexa capability supporting AML and financial crime initiatives across EMEA. This is a hands-on technical leadership role that combines team leadership, stakeholder engagement and solution delivery. The successful candidate will lead a small team of Data Engineers while remaining actively involved in solution design, development and implementation. You will help shape the strategic direction of the Quantexa platform whilst ensuring successful delivery across a global programme. Key Responsibilities: Lead and mentor a team of Quantexa Data Engineers across EMEA. Act as the senior technical point of contact for the Quantexa platform. Design, build and optimise scalable data pipelines and ETL processes. Provide hands-on development using Scala, Spark, Python and SQL. Partner with technology, product and business stakeholders. Drive best practice across engineering, testing, deployment and platform support. Support the continued rollout and adoption of Quantexa across the organisation. Contribute to cloud architecture leveraging Azure and Databricks. Qualifications and Skills: Proven Data Engineering leadership experience. Working knowledge of Quantexa is required. Strong hands-on experience with Scala and Spark. Excellent knowledge of ETL, data architecture and cloud data platforms. Experience with Azure Data Factory, Azure Databricks and SQL. Strong stakeholder management and communication skills. Experience operating within Financial Services environments. Ability to balance technical leadership with hands-on delivery.Proficient in tools such as Jira and Confluence. Strong analytical skills for diagnosing and troubleshooting system issues. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Job Title: Quantexa Data Engineer (Scala/Spark) Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is investing in a major Quantexa-led financial crime and AML transformation programme and is looking for a hands-on Quantexa Data Engineer to join the team. This role will play a key part in building scalable data pipelines, cloud-based data solutions and entity resolution capabilities supporting AML outcomes across a global banking environment. You will work closely with technology, product and business stakeholders, helping to develop and enhance a new Quantexa capability across EMEA. Key Responsibilities: Design, build and optimise scalable data pipelines and ETL processes. Develop solutions using Scala, Spark, Python and SQL. Support the implementation and growth of the Quantexa platform. Build reusable frameworks and shared engineering capabilities. Work across Azure, Databricks and cloud-based data platforms. Ensure data quality, integrity, security and platform reliability. Support testing, deployment and automation activities. Collaborate with global teams to deliver high-quality solutions. Qualifications and Skills: Strong Data Engineering background. Hands-on experience with Scala and Spark. Experience with SQL and Python. Experience with Azure Data Factory, Azure Databricks and cloud data platforms. ETL and data pipeline development expertise. Experience with Elasticsearch, APIs and modern engineering practices. Exposure to Quantexa would be highly desirable. Financial Services experience beneficial but not essential. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
07/11/2026
Contractor
Job Title: Quantexa Data Engineer (Scala/Spark) Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is investing in a major Quantexa-led financial crime and AML transformation programme and is looking for a hands-on Quantexa Data Engineer to join the team. This role will play a key part in building scalable data pipelines, cloud-based data solutions and entity resolution capabilities supporting AML outcomes across a global banking environment. You will work closely with technology, product and business stakeholders, helping to develop and enhance a new Quantexa capability across EMEA. Key Responsibilities: Design, build and optimise scalable data pipelines and ETL processes. Develop solutions using Scala, Spark, Python and SQL. Support the implementation and growth of the Quantexa platform. Build reusable frameworks and shared engineering capabilities. Work across Azure, Databricks and cloud-based data platforms. Ensure data quality, integrity, security and platform reliability. Support testing, deployment and automation activities. Collaborate with global teams to deliver high-quality solutions. Qualifications and Skills: Strong Data Engineering background. Hands-on experience with Scala and Spark. Experience with SQL and Python. Experience with Azure Data Factory, Azure Databricks and cloud data platforms. ETL and data pipeline development expertise. Experience with Elasticsearch, APIs and modern engineering practices. Exposure to Quantexa would be highly desirable. Financial Services experience beneficial but not essential. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
URGENT: Contract Data Engineer Oxford Area Sensitive Data - 5 days On-site Requirment p/w - Essential I have a short piece of work available for an experienced contractor who's based within commutable distance to Oxford and able to commit to working on-site, 5 days per week. Rate: (Apply online only) per day (Outside IR35) Duration: 3 months, initally (extension possible) Working Patterns: 5 days on-site per week Location: Oxfordshire Interview Stages: 2 stage (Virtual Screening, next week - followed by final stage F2F in person. Interview slots secured for next week). The Project: Opus have partnered with a leading manufacturing client who're in need of a Data Engineer with strong scripting knowledge and migration experience to provide interim support for ongoing data migration activity, moving SQL Data (held in MySQL Database) to GCP / BigQuery. Requirements: Must have experience in Google BigQuery migration Strong scripting knowledge (most desirable would-be PHP & Python ) Excellent SQL/MySQL knowledge and project experience. Prior contracting experience on migratory projects / programmes of work Understanding of API's, and Medallion (Bronze, Silver, Gold) Architecture. Nice to have: Understanding of API's, and Medallion (Bronze, Silver, Gold) Architecture. GA4 or Klaviyo experience Immediate availability - ideally, you'll be locally based. Please reach out to Adam Akhtar at Opus Recruitment Solutions for further information.
06/11/2026
Contractor
URGENT: Contract Data Engineer Oxford Area Sensitive Data - 5 days On-site Requirment p/w - Essential I have a short piece of work available for an experienced contractor who's based within commutable distance to Oxford and able to commit to working on-site, 5 days per week. Rate: (Apply online only) per day (Outside IR35) Duration: 3 months, initally (extension possible) Working Patterns: 5 days on-site per week Location: Oxfordshire Interview Stages: 2 stage (Virtual Screening, next week - followed by final stage F2F in person. Interview slots secured for next week). The Project: Opus have partnered with a leading manufacturing client who're in need of a Data Engineer with strong scripting knowledge and migration experience to provide interim support for ongoing data migration activity, moving SQL Data (held in MySQL Database) to GCP / BigQuery. Requirements: Must have experience in Google BigQuery migration Strong scripting knowledge (most desirable would-be PHP & Python ) Excellent SQL/MySQL knowledge and project experience. Prior contracting experience on migratory projects / programmes of work Understanding of API's, and Medallion (Bronze, Silver, Gold) Architecture. Nice to have: Understanding of API's, and Medallion (Bronze, Silver, Gold) Architecture. GA4 or Klaviyo experience Immediate availability - ideally, you'll be locally based. Please reach out to Adam Akhtar at Opus Recruitment Solutions for further information.
My client is looking fort a Senior Data Engineer. Responsible for developing and implementing data management processes, including data integration, data migration, and data storage. Responsible for ensuring that data is secure and compliant with relevant regulations, such as GDPR. This may involve implementing data access controls, data encryption, and data masking. Responsible for creating and maintaining ETL (Extract, Transform, Load) processes for structured and unstructured data. Responsible for the technical approach to data integrity and back-out plans for all changes to the systems. Manage the deployment and release of data pipelines and applications. Contribute to the development and execution of the organization's data strategy and roadmap. Responsible for staying up-to-date with industry trends in data management and data engineering, ensuring that the organization is using the latest tools and technologies. ETL Tools: Experience using ETL tools such as Informatica IICS, with an understanding of how these can complement or transition into Microsoft Fabric's Data Factory pipelines. Azure Cloud Computing: Experience using Azure services such as Azure Managed Instance, Azure Data Lakes, and Azure SQL to build scalable and secure cloud-based data solutions. SQL Coding: Proficient in T-SQL for querying, data manipulation, and performance tuning. MSSQL Stack: Hands-on experience with the Microsoft SQL Server stack, including SSMS, SSIS, SSRS, and SSAS. SQL Server Optimisation: Knowledge and practical experience in SQL Server optimisation techniques, including indexing strategies, query tuning, and execution plan analysis. Database Design: Skilled in designing efficient, scalable, and conformant relational database schemas. SQL Server Troubleshooting: Experience diagnosing and resolving performance and connectivity issues in SQL Server environments. Agile Methodologies: Practical experience working in Agile environments, including Scrum and Kanban frameworks, with a focus on iterative delivery and stakeholder collaboration. Unit Testing: Familiarity with unit testing practices for data pipelines and SQL procedures to ensure reliability and maintainability.
06/11/2026
Full time
My client is looking fort a Senior Data Engineer. Responsible for developing and implementing data management processes, including data integration, data migration, and data storage. Responsible for ensuring that data is secure and compliant with relevant regulations, such as GDPR. This may involve implementing data access controls, data encryption, and data masking. Responsible for creating and maintaining ETL (Extract, Transform, Load) processes for structured and unstructured data. Responsible for the technical approach to data integrity and back-out plans for all changes to the systems. Manage the deployment and release of data pipelines and applications. Contribute to the development and execution of the organization's data strategy and roadmap. Responsible for staying up-to-date with industry trends in data management and data engineering, ensuring that the organization is using the latest tools and technologies. ETL Tools: Experience using ETL tools such as Informatica IICS, with an understanding of how these can complement or transition into Microsoft Fabric's Data Factory pipelines. Azure Cloud Computing: Experience using Azure services such as Azure Managed Instance, Azure Data Lakes, and Azure SQL to build scalable and secure cloud-based data solutions. SQL Coding: Proficient in T-SQL for querying, data manipulation, and performance tuning. MSSQL Stack: Hands-on experience with the Microsoft SQL Server stack, including SSMS, SSIS, SSRS, and SSAS. SQL Server Optimisation: Knowledge and practical experience in SQL Server optimisation techniques, including indexing strategies, query tuning, and execution plan analysis. Database Design: Skilled in designing efficient, scalable, and conformant relational database schemas. SQL Server Troubleshooting: Experience diagnosing and resolving performance and connectivity issues in SQL Server environments. Agile Methodologies: Practical experience working in Agile environments, including Scrum and Kanban frameworks, with a focus on iterative delivery and stakeholder collaboration. Unit Testing: Familiarity with unit testing practices for data pipelines and SQL procedures to ensure reliability and maintainability.
Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes Salary: Up to £80,000 per annum Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme. About the Role We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that is transforming the way commercial data is managed and utilised. In this role, you will lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based platform. About the Company Our client is a leading technology business focused on transforming commercial Asset management through data and innovation. Their SaaS platform consolidates and reconciles data across financial, operational, and leasing functions, providing a single source of truth for asset, fund, and portfolio performance. Key Responsibilities Data Pipeline Development Data Platform Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a similar role. Strong experience with Python and PySpark. Excellent SQL skills. Experience with data orchestration tools such as Airflow, Azure Data Factory (ADF), SSIS, or similar. Solid understanding of data modelling principles and modern data warehouse architectures. Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges and build impactful data solutions at scale, we'd love to hear from you. Join a growing technology business where your expertise will directly influence the future of a data-driven platform serving one of the world's largest industries.
06/11/2026
Full time
Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes Salary: Up to £80,000 per annum Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme. About the Role We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that is transforming the way commercial data is managed and utilised. In this role, you will lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based platform. About the Company Our client is a leading technology business focused on transforming commercial Asset management through data and innovation. Their SaaS platform consolidates and reconciles data across financial, operational, and leasing functions, providing a single source of truth for asset, fund, and portfolio performance. Key Responsibilities Data Pipeline Development Data Platform Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a similar role. Strong experience with Python and PySpark. Excellent SQL skills. Experience with data orchestration tools such as Airflow, Azure Data Factory (ADF), SSIS, or similar. Solid understanding of data modelling principles and modern data warehouse architectures. Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges and build impactful data solutions at scale, we'd love to hear from you. Join a growing technology business where your expertise will directly influence the future of a data-driven platform serving one of the world's largest industries.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Description Job Title: Data Engineer Duration: 6 months Location: Telford (Hybrid) Clearance Required: SC is required but can start with BPSS Pay Rate: £486 per day all inc. (PAYE through FCSA Umbrella) Job Description: Demand on the in the ITEC programme area has increased dramatically necessitating additional developers to support the delivery of the ITEC CARF project This developer role will be primarily working on Talend and Oracle RDS systems, within our existing Talend framework and patterns. Experience of ETL tooling will be needed, preferably Talend but Pentaho/Informatica experience will be transferable. Experience working in Oracle RDS databases will also be required. Job spec: Develop project artefacts including (but not limited to) Talend jobs, Oracle DDL and SQL, GitLab Pipeline enhancements Investigate and resolve any defects/issues raised during testing phases. Review colleagues development and test artefacts. Support for Production promotion and warranty' support Conduct Component Testing of developed artefacts (including test data creation) Support QAs in conducting test phases and debugging issues identified throughout the development lifecycle Create and execute test packs for Component Test automation Support Performance Testing phase Provide support and guidance to colleagues and mentor junior engineers Reporting to Lead engineer and any scrum-of-scrum discussions Required skills: Data ETL product experience - Talend preferred Oracle RDS If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
06/11/2026
Contractor
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Description Job Title: Data Engineer Duration: 6 months Location: Telford (Hybrid) Clearance Required: SC is required but can start with BPSS Pay Rate: £486 per day all inc. (PAYE through FCSA Umbrella) Job Description: Demand on the in the ITEC programme area has increased dramatically necessitating additional developers to support the delivery of the ITEC CARF project This developer role will be primarily working on Talend and Oracle RDS systems, within our existing Talend framework and patterns. Experience of ETL tooling will be needed, preferably Talend but Pentaho/Informatica experience will be transferable. Experience working in Oracle RDS databases will also be required. Job spec: Develop project artefacts including (but not limited to) Talend jobs, Oracle DDL and SQL, GitLab Pipeline enhancements Investigate and resolve any defects/issues raised during testing phases. Review colleagues development and test artefacts. Support for Production promotion and warranty' support Conduct Component Testing of developed artefacts (including test data creation) Support QAs in conducting test phases and debugging issues identified throughout the development lifecycle Create and execute test packs for Component Test automation Support Performance Testing phase Provide support and guidance to colleagues and mentor junior engineers Reporting to Lead engineer and any scrum-of-scrum discussions Required skills: Data ETL product experience - Talend preferred Oracle RDS If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Job Title: Quantexa Data Engineering Lead Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is seeking a Quantexa Data Engineering Lead to drive the growth of a newly established Quantexa capability supporting AML and financial crime initiatives across EMEA. This is a hands-on technical leadership role that combines team leadership, stakeholder engagement and solution delivery. The successful candidate will lead a small team of Data Engineers while remaining actively involved in solution design, development and implementation. You will help shape the strategic direction of the Quantexa platform whilst ensuring successful delivery across a global programme. Key Responsibilities: Lead and mentor a team of Quantexa Data Engineers across EMEA. Act as the senior technical point of contact for the Quantexa platform. Design, build and optimise scalable data pipelines and ETL processes. Provide hands-on development using Scala, Spark, Python and SQL. Partner with technology, product and business stakeholders. Drive best practice across engineering, testing, deployment and platform support. Support the continued rollout and adoption of Quantexa across the organisation. Contribute to cloud architecture leveraging Azure and Databricks. Qualifications and Skills: Proven Data Engineering leadership experience. Working knowledge of Quantexa is required. Strong hands-on experience with Scala and Spark. Excellent knowledge of ETL, data architecture and cloud data platforms. Experience with Azure Data Factory, Azure Databricks and SQL. Strong stakeholder management and communication skills. Experience operating within Financial Services environments. Ability to balance technical leadership with hands-on delivery.Proficient in tools such as Jira and Confluence. Strong analytical skills for diagnosing and troubleshooting system issues. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
06/11/2026
Contractor
Job Title: Quantexa Data Engineering Lead Location: London Contract Length: Up to 11 months Working Pattern: 2-3 days in the office per week, via Umbrella Company Our client is seeking a Quantexa Data Engineering Lead to drive the growth of a newly established Quantexa capability supporting AML and financial crime initiatives across EMEA. This is a hands-on technical leadership role that combines team leadership, stakeholder engagement and solution delivery. The successful candidate will lead a small team of Data Engineers while remaining actively involved in solution design, development and implementation. You will help shape the strategic direction of the Quantexa platform whilst ensuring successful delivery across a global programme. Key Responsibilities: Lead and mentor a team of Quantexa Data Engineers across EMEA. Act as the senior technical point of contact for the Quantexa platform. Design, build and optimise scalable data pipelines and ETL processes. Provide hands-on development using Scala, Spark, Python and SQL. Partner with technology, product and business stakeholders. Drive best practice across engineering, testing, deployment and platform support. Support the continued rollout and adoption of Quantexa across the organisation. Contribute to cloud architecture leveraging Azure and Databricks. Qualifications and Skills: Proven Data Engineering leadership experience. Working knowledge of Quantexa is required. Strong hands-on experience with Scala and Spark. Excellent knowledge of ETL, data architecture and cloud data platforms. Experience with Azure Data Factory, Azure Databricks and SQL. Strong stakeholder management and communication skills. Experience operating within Financial Services environments. Ability to balance technical leadership with hands-on delivery.Proficient in tools such as Jira and Confluence. Strong analytical skills for diagnosing and troubleshooting system issues. Why Join Our Client? Opportunity to work on impactful projects that contribute to the organisation's AML efforts. Collaborative and innovative work environment. Focus on professional development and staying updated with the latest technologies. If you are enthusiastic about data engineering and ready to make a significant impact, consider applying for this thrilling opportunity! Our client values talent and dedication and is eager to find the right candidate to join their dynamic team. Note: Due to volume of applicants if we do not reach out with in 48hrs of applying, please assume your application has been unsuccessful. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Senior/Lead Data Engineer - Qlik Sense - Newcastle (3 days p/week) - £350 - £450 p/day (umbrella) Location: Newcastle, onsite 3 days p/week Security Clearance: SC Cleared or eligible to obtain SC clearance Robert Half are looking for an experienced Senior/Lead Data Engineer to join a team delivering complex data-focused projects within a large-scale environment. This is an excellent opportunity for a technically strong Data Engineer with experience across modern data platforms, visualisation and analytics technologies, particularly within the Qlik and ELK ecosystems. The Role You will bring strong technical expertise across data engineering technologies, helping to support the development and delivery of data solutions within a complex project environment. Experience working with large-scale public sector programmes would be highly advantageous, particularly where security, data management and technical delivery are key considerations. Key Skills & Experience Strong experience as a Data Engineer, ideally at Senior level. Hands-on experience with Qlik Sense . Experience working with the ELK Stack , particularly Elasticsearch, Logstash and Kibana. Strong understanding of data engineering concepts and technologies. Previous exposure to large-scale public sector projects would be advantageous. Must currently hold valid SC Security Clearance or be eligible to obtain it. Location The role is based in Newcastle . If you're a Senior/Lead Data Engineer with experience across Qlik Sense and the ELK Stack, and you're interested in working on large-scale projects, we'd be keen to hear from you. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
06/11/2026
Contractor
Senior/Lead Data Engineer - Qlik Sense - Newcastle (3 days p/week) - £350 - £450 p/day (umbrella) Location: Newcastle, onsite 3 days p/week Security Clearance: SC Cleared or eligible to obtain SC clearance Robert Half are looking for an experienced Senior/Lead Data Engineer to join a team delivering complex data-focused projects within a large-scale environment. This is an excellent opportunity for a technically strong Data Engineer with experience across modern data platforms, visualisation and analytics technologies, particularly within the Qlik and ELK ecosystems. The Role You will bring strong technical expertise across data engineering technologies, helping to support the development and delivery of data solutions within a complex project environment. Experience working with large-scale public sector programmes would be highly advantageous, particularly where security, data management and technical delivery are key considerations. Key Skills & Experience Strong experience as a Data Engineer, ideally at Senior level. Hands-on experience with Qlik Sense . Experience working with the ELK Stack , particularly Elasticsearch, Logstash and Kibana. Strong understanding of data engineering concepts and technologies. Previous exposure to large-scale public sector projects would be advantageous. Must currently hold valid SC Security Clearance or be eligible to obtain it. Location The role is based in Newcastle . If you're a Senior/Lead Data Engineer with experience across Qlik Sense and the ELK Stack, and you're interested in working on large-scale projects, we'd be keen to hear from you. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:
Data Engineering Lead - Value & Analytics Location: London Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £38,000 - £46,000 (+ £3,300 London Weighting) Level: Senior The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function. You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance. Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions. The Role You will provide the technical engine for the Value Management Office, designing and maintaining the pipelines, models and dashboards used to track portfolio performance, benefits realisation and strategic return on investment. While portfolio and strategy teams define what value should be measured, you will own how the information is captured, integrated, automated and presented to leadership and board-level audiences. Key Responsibilities * Design and implement automated data pipelines connecting operational, financial and project management systems, including Jira, Azure DevOps and SAP * Build and maintain executive dashboards using Power BI, Microsoft Fabric, Tableau or similar tools * Visualise objectives, OKRs, KPIs, benefits and actual versus forecast return on investment * Develop scalable data models that connect portfolio activity and project outputs to strategic objectives * Create a trusted single source of truth for prioritisation, investment decisions and resource allocation * Engineer automated alerts and reporting to identify declining value or performance * Translate business-case and benefits metrics into reliable technical data models * Manage the analytics engineering life cycle from ingestion and ETL or ELT through to Front End visualisation * Define technical standards for value-tracking tools, data models and performance analytics * Ensure leadership reporting is accurate, auditable, secure and compliant with governance requirements * Promote data transparency and access to trusted performance information * Connect information from fragmented business units and systems while maintaining consistent definitions and metadata * Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting * Design solutions that scale as organisational priorities, portfolio structures and reporting requirements change * Maintain documentation covering data lineage, models, interfaces, controls and reporting standards Essential Experience * Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions * Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards * Experience with ETL or ELT tools, Scripting, data warehouses and data lakes * Experience integrating fragmented data from operational, financial and project management systems * Experience supporting major digital transformation or change programmes across multiple technology domains * Strong cloud knowledge across Azure, AWS, SaaS, IaaS or PaaS environments * Understanding of cyber security, data governance and regulatory requirements * Strong business systems analysis skills and the ability to connect technical data to financial and strategic value * Ability to present complex data through intuitive dashboards for non-technical senior stakeholders * Excellent written and verbal communication skills * Fluency in English Desirable Experience * Experience within a Value Management Office, PMO or strategy-led data function * Experience in financial modelling, benefits realisation or commercial performance analytics * Previous line management experience * Experience within a large, international or highly complex organisation * Microsoft Fabric, Power BI, Tableau, data engineering or related professional certification * Degree or equivalent experience in Computer Science, Information Technology, Data Engineering or a related discipline * Experience designing solutions in complex environments where data is distributed across multiple business units * Ability to lead technical discussions, challenge assumptions and recommend pragmatic engineering approaches * Rates depend on experience and client requirements
06/11/2026
Full time
Data Engineering Lead - Value & Analytics Location: London Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £38,000 - £46,000 (+ £3,300 London Weighting) Level: Senior The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function. You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance. Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions. The Role You will provide the technical engine for the Value Management Office, designing and maintaining the pipelines, models and dashboards used to track portfolio performance, benefits realisation and strategic return on investment. While portfolio and strategy teams define what value should be measured, you will own how the information is captured, integrated, automated and presented to leadership and board-level audiences. Key Responsibilities * Design and implement automated data pipelines connecting operational, financial and project management systems, including Jira, Azure DevOps and SAP * Build and maintain executive dashboards using Power BI, Microsoft Fabric, Tableau or similar tools * Visualise objectives, OKRs, KPIs, benefits and actual versus forecast return on investment * Develop scalable data models that connect portfolio activity and project outputs to strategic objectives * Create a trusted single source of truth for prioritisation, investment decisions and resource allocation * Engineer automated alerts and reporting to identify declining value or performance * Translate business-case and benefits metrics into reliable technical data models * Manage the analytics engineering life cycle from ingestion and ETL or ELT through to Front End visualisation * Define technical standards for value-tracking tools, data models and performance analytics * Ensure leadership reporting is accurate, auditable, secure and compliant with governance requirements * Promote data transparency and access to trusted performance information * Connect information from fragmented business units and systems while maintaining consistent definitions and metadata * Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting * Design solutions that scale as organisational priorities, portfolio structures and reporting requirements change * Maintain documentation covering data lineage, models, interfaces, controls and reporting standards Essential Experience * Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions * Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards * Experience with ETL or ELT tools, Scripting, data warehouses and data lakes * Experience integrating fragmented data from operational, financial and project management systems * Experience supporting major digital transformation or change programmes across multiple technology domains * Strong cloud knowledge across Azure, AWS, SaaS, IaaS or PaaS environments * Understanding of cyber security, data governance and regulatory requirements * Strong business systems analysis skills and the ability to connect technical data to financial and strategic value * Ability to present complex data through intuitive dashboards for non-technical senior stakeholders * Excellent written and verbal communication skills * Fluency in English Desirable Experience * Experience within a Value Management Office, PMO or strategy-led data function * Experience in financial modelling, benefits realisation or commercial performance analytics * Previous line management experience * Experience within a large, international or highly complex organisation * Microsoft Fabric, Power BI, Tableau, data engineering or related professional certification * Degree or equivalent experience in Computer Science, Information Technology, Data Engineering or a related discipline * Experience designing solutions in complex environments where data is distributed across multiple business units * Ability to lead technical discussions, challenge assumptions and recommend pragmatic engineering approaches * Rates depend on experience and client requirements
Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes Salary: Up to 80,000 per annum Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme. About the Role We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that is transforming the way commercial data is managed and utilised. In this role, you will lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based platform. About the Company Our client is a leading technology business focused on transforming commercial Asset management through data and innovation. Their SaaS platform consolidates and reconciles data across financial, operational, and leasing functions, providing a single source of truth for asset, fund, and portfolio performance. Key Responsibilities Data Pipeline Development Data Platform Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark / PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a similar role. Strong experience with Python and PySpark. Excellent SQL skills. Experience with data orchestration tools such as Airflow, Azure Data Factory (ADF), SSIS, or similar. Solid understanding of data modelling principles and modern data warehouse architectures. Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges and build impactful data solutions at scale, we'd love to hear from you. Join a growing technology business where your expertise will directly influence the future of a data-driven platform serving one of the world's largest industries.
06/11/2026
Full time
Senior Data Engineer - Python, SQL, Airflow, Azure, Pyspark, Kubernetes Salary: Up to 80,000 per annum Benefits: Excellent benefits package including annual bonus, free onsite gym, and company pension scheme. About the Role We are seeking an experienced Senior Data Engineer to join an innovative SaaS business that is transforming the way commercial data is managed and utilised. In this role, you will lead the development of scalable data pipelines and integrate complex data sources into a modern cloud-based platform. About the Company Our client is a leading technology business focused on transforming commercial Asset management through data and innovation. Their SaaS platform consolidates and reconciles data across financial, operational, and leasing functions, providing a single source of truth for asset, fund, and portfolio performance. Key Responsibilities Data Pipeline Development Data Platform Management Stakeholder Collaboration Leadership & Mentorship Technology Stack The successful candidate will have experience working with some or all of the following technologies: Data Processing: Apache Spark / PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years' experience within Data Engineering, Data Warehousing, or a similar role. Strong experience with Python and PySpark. Excellent SQL skills. Experience with data orchestration tools such as Airflow, Azure Data Factory (ADF), SSIS, or similar. Solid understanding of data modelling principles and modern data warehouse architectures. Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges and build impactful data solutions at scale, we'd love to hear from you. Join a growing technology business where your expertise will directly influence the future of a data-driven platform serving one of the world's largest industries.
Are you a Senior Data Engineer who is at the top of their game? Looking to work on large-scale data initiatives and help shape the future of a data landscape for a well-known UK brand operating at genuine enterprise scale? Do you want to join a proactive, forward-thinking team delivering key transformation projects and complex data integrations? Keep reading Who are my client? Well, they're a massively well-recognised brand here in the UK, but they're also making serious waves in the US market too. They are absolutely THRIVING and are regarded as the Number 1 brand in their sector. They've also been named one of the UK's best places to work on multiple occasions. Trust me, this is a brand you'll want on your CV. They're privately owned too, which means the environment is fast-moving, lean and entrepreneurial. They embrace a "fail fast" mentality and are always open to exploring new ideas, technologies and ways of working. You couldn't be joining at a better time. The business is undergoing a HUGE transformation that will significantly evolve its data capabilities and take its data platform to the next level. This is where you come in. Who are they looking for? They are looking for a highly capable Senior Data Engineer who can play a key role in delivering and enhancing their data platform. You'll be responsible for designing, building and optimising data solutions that support the wider business, whilst helping to drive best practice across the engineering function. You'll have strong Python skills and be comfortable building scalable, efficient data solutions. Experience developing and maintaining ETL pipelines is essential, ensuring the smooth movement and transformation of data across the platform. Ideally, you'll also be passionate about Cloud technologies and have experience working with AWS data services such as Glue and S3. Solid exposure to ETL pipelines and monitoring tools such as Datadog is also essential. You'll be involved in monitoring and improving data processes, identifying performance enhancements and helping ensure the reliability and scalability of the wider data platform. Working closely with senior stakeholders, product teams and fellow engineers, you'll contribute to the ongoing evolution of the data environment and support the delivery of ambitious business objectives. These guys mean business and are investing heavily in their Data function, leveraging industry-leading tools and technologies to build a best-in-class platform. You'll also work extensively with their Data Warehouse, orchestrating data extraction from a variety of sources and enabling robust analytics and reporting capabilities that provide valuable insights across the organisation. As an individual? You live and breathe Data Engineering and keep up to date with the latest trends, tools and technologies within the data ecosystem. You'll thrive in a fast-paced environment where priorities can evolve quickly and where you'll regularly be presented with new technical challenges. I'm looking for the type of Data Engineer who is naturally inquisitive and has a genuine thirst for learning. My client actively supports professional development, technical certifications and continuous learning opportunities, helping you develop your skills whilst working on genuinely exciting projects. You'll also be confident in sharing ideas, contributing to technical discussions and championing improvements that can benefit both the team and the wider business. You'll join a larger, highly talented Development and Change function where the scope for learning is enormous. The estate is substantial, the projects are exciting and the opportunity to make a real impact is HUGE. Cracking role, cracking team and an opportunity to work for a true market leader, building sophisticated data-driven solutions used at genuine enterprise scale. We can offer up to 50,000 plus quarterly bonus , alongside a fantastic benefits package, whilst working from their impressive North Lincolnshire offices 3 days per week . Call me now on (phone number removed) for immediate consideration. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
06/11/2026
Full time
Are you a Senior Data Engineer who is at the top of their game? Looking to work on large-scale data initiatives and help shape the future of a data landscape for a well-known UK brand operating at genuine enterprise scale? Do you want to join a proactive, forward-thinking team delivering key transformation projects and complex data integrations? Keep reading Who are my client? Well, they're a massively well-recognised brand here in the UK, but they're also making serious waves in the US market too. They are absolutely THRIVING and are regarded as the Number 1 brand in their sector. They've also been named one of the UK's best places to work on multiple occasions. Trust me, this is a brand you'll want on your CV. They're privately owned too, which means the environment is fast-moving, lean and entrepreneurial. They embrace a "fail fast" mentality and are always open to exploring new ideas, technologies and ways of working. You couldn't be joining at a better time. The business is undergoing a HUGE transformation that will significantly evolve its data capabilities and take its data platform to the next level. This is where you come in. Who are they looking for? They are looking for a highly capable Senior Data Engineer who can play a key role in delivering and enhancing their data platform. You'll be responsible for designing, building and optimising data solutions that support the wider business, whilst helping to drive best practice across the engineering function. You'll have strong Python skills and be comfortable building scalable, efficient data solutions. Experience developing and maintaining ETL pipelines is essential, ensuring the smooth movement and transformation of data across the platform. Ideally, you'll also be passionate about Cloud technologies and have experience working with AWS data services such as Glue and S3. Solid exposure to ETL pipelines and monitoring tools such as Datadog is also essential. You'll be involved in monitoring and improving data processes, identifying performance enhancements and helping ensure the reliability and scalability of the wider data platform. Working closely with senior stakeholders, product teams and fellow engineers, you'll contribute to the ongoing evolution of the data environment and support the delivery of ambitious business objectives. These guys mean business and are investing heavily in their Data function, leveraging industry-leading tools and technologies to build a best-in-class platform. You'll also work extensively with their Data Warehouse, orchestrating data extraction from a variety of sources and enabling robust analytics and reporting capabilities that provide valuable insights across the organisation. As an individual? You live and breathe Data Engineering and keep up to date with the latest trends, tools and technologies within the data ecosystem. You'll thrive in a fast-paced environment where priorities can evolve quickly and where you'll regularly be presented with new technical challenges. I'm looking for the type of Data Engineer who is naturally inquisitive and has a genuine thirst for learning. My client actively supports professional development, technical certifications and continuous learning opportunities, helping you develop your skills whilst working on genuinely exciting projects. You'll also be confident in sharing ideas, contributing to technical discussions and championing improvements that can benefit both the team and the wider business. You'll join a larger, highly talented Development and Change function where the scope for learning is enormous. The estate is substantial, the projects are exciting and the opportunity to make a real impact is HUGE. Cracking role, cracking team and an opportunity to work for a true market leader, building sophisticated data-driven solutions used at genuine enterprise scale. We can offer up to 50,000 plus quarterly bonus , alongside a fantastic benefits package, whilst working from their impressive North Lincolnshire offices 3 days per week . Call me now on (phone number removed) for immediate consideration. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Data Engineer Document & Retrieval Pipelines SC Cleared Morela is supporting a specialist technology consultancy on a high-profile defence AI programme, and we are looking for a Data Engineer to own the document and retrieval pipelines behind a set of AI-enabled planning tools. This is a contract role on a two-year programme, Outside IR35, based in Central London. Active SC clearance is required. About the Client Our client is a specialist technology consultancy that embeds engineers directly into government and defence delivery teams. They are known for long-term programme work and for giving their engineers genuine ownership of what they build. This is one of their most strategically important programmes. The Role You will join a team building AI-enabled planning tools. The core of the role is document and retrieval pipelines: getting messy, real-world documents in, then making them structured, searchable and measurable. The first increment produced working prototypes. The next increment is about building on them to deliver reliable, production-grade services for real end users, so there will be a strong focus on scaling and hardening the pipelines. You will work as part of a mixed team of engineers, military and civil service colleagues, so being able to represent yourself well and explain technical decisions clearly matters as much as the engineering. Responsibilities • Build and maintain ingestion pipelines that extract clean text from PDF, DOCX and HTML, including layout-aware parsing of headings, tables and multi-column pages • Design and build retrieval pipelines for RAG, covering chunking strategy, embedding models, vector search and metadata design • Own the Postgres layer, including schema design, indexing (including vector indexes) and performance at scale • Build labelled ground-truth datasets and use them to measure and improve retrieval quality • Take prototype code to production, hardening pipelines with batching, idempotent re-ingestion and robust error handling • Containerise services and maintain CI/CD pipelines so changes ship reliably Essential Requirements • Clearance: Active SC clearance • Python: Strong Python, with experience building and testing data pipelines and APIs (FastAPI, PyTest) • Unstructured document ingestion: Extracting clean text from PDF, DOCX and HTML, including layout-aware parsing (headings, tables, multi-column pages) • RAG retrieval pipelines: Chunking strategy, embedding models, vector search (Postgres with pgvector or similar) and metadata design • Postgres: Schema design, indexing (including vector indexes) and performance at scale • Retrieval evaluation: Building labelled ground-truth datasets and measuring retrieval quality • Productionising code: Hardening pipelines (batching, idempotent re-ingestion, error handling), containerisation with Docker and CI/CD with GitHub Actions Desirable Experience • Cloud deployment, particularly Google Cloud; AWS (Bedrock, S3, ECR, EKS) is also used today • Kubernetes and Helm • Working with LLM providers (OpenAI, Anthropic, Bedrock) and locally hosted models (Ollama) • Data labelling workflows (e.g. Label Studio) • Government, defence or other security-cleared programmes Working Environment Central London, embedded in a mixed programme team with clear delivery milestones. Outside IR35, two-year contract.
06/11/2026
Full time
Data Engineer Document & Retrieval Pipelines SC Cleared Morela is supporting a specialist technology consultancy on a high-profile defence AI programme, and we are looking for a Data Engineer to own the document and retrieval pipelines behind a set of AI-enabled planning tools. This is a contract role on a two-year programme, Outside IR35, based in Central London. Active SC clearance is required. About the Client Our client is a specialist technology consultancy that embeds engineers directly into government and defence delivery teams. They are known for long-term programme work and for giving their engineers genuine ownership of what they build. This is one of their most strategically important programmes. The Role You will join a team building AI-enabled planning tools. The core of the role is document and retrieval pipelines: getting messy, real-world documents in, then making them structured, searchable and measurable. The first increment produced working prototypes. The next increment is about building on them to deliver reliable, production-grade services for real end users, so there will be a strong focus on scaling and hardening the pipelines. You will work as part of a mixed team of engineers, military and civil service colleagues, so being able to represent yourself well and explain technical decisions clearly matters as much as the engineering. Responsibilities • Build and maintain ingestion pipelines that extract clean text from PDF, DOCX and HTML, including layout-aware parsing of headings, tables and multi-column pages • Design and build retrieval pipelines for RAG, covering chunking strategy, embedding models, vector search and metadata design • Own the Postgres layer, including schema design, indexing (including vector indexes) and performance at scale • Build labelled ground-truth datasets and use them to measure and improve retrieval quality • Take prototype code to production, hardening pipelines with batching, idempotent re-ingestion and robust error handling • Containerise services and maintain CI/CD pipelines so changes ship reliably Essential Requirements • Clearance: Active SC clearance • Python: Strong Python, with experience building and testing data pipelines and APIs (FastAPI, PyTest) • Unstructured document ingestion: Extracting clean text from PDF, DOCX and HTML, including layout-aware parsing (headings, tables, multi-column pages) • RAG retrieval pipelines: Chunking strategy, embedding models, vector search (Postgres with pgvector or similar) and metadata design • Postgres: Schema design, indexing (including vector indexes) and performance at scale • Retrieval evaluation: Building labelled ground-truth datasets and measuring retrieval quality • Productionising code: Hardening pipelines (batching, idempotent re-ingestion, error handling), containerisation with Docker and CI/CD with GitHub Actions Desirable Experience • Cloud deployment, particularly Google Cloud; AWS (Bedrock, S3, ECR, EKS) is also used today • Kubernetes and Helm • Working with LLM providers (OpenAI, Anthropic, Bedrock) and locally hosted models (Ollama) • Data labelling workflows (e.g. Label Studio) • Government, defence or other security-cleared programmes Working Environment Central London, embedded in a mixed programme team with clear delivery milestones. Outside IR35, two-year contract.
Data Engineer (Python SQL AWS) London / WFH to £85k Do you have experience of building data pipelines within finance / Fintech environments? You could be progressing your career in a hands-on Data Engineer role at a scaling Investment Research tech company with great benefits and perks. As a Data Engineer you will be at the intersection of data engineering, database management and platform delivery. You will help build and evolve a modern, scalable AWS cloud based data platform. Your focus will be on designing and maintaining data pipelines, ingestion frameworks and processing workflows, supporting the migration of existing datasets into a unified data architecture. Collaborating closely with the Data Platform Engineer, you will contribute to platform design, data modelling, database optimisation and the onboarding of new data sources. You'll also assist with managing and optimising PostgreSQL and time-series database environments, improving data quality and governance and ensuring platform reliability, performance and scalability. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You have experience as a Data Engineer, ideally working with financial data / market data in a FinTech or financial services environment You have strong SQL and Python coding skills You have AWS experience, including Data Lakes and S3 You have experience of building and supporting large scale data pipelines You have experience with PostgreSQL You have experience with times series data, they use TimescaleDB but other experience with similar platforms is fine You have experience with Orchestration platforms such as Dagster or Airflow You're collaborative with great communication skills What's in it for you: Salary to £85k + bonus X3 weeks per year work anywhere 25 days holiday, increasing to 30 Pension 9% (company contributes 5%, employee contributes 4%) Healthcare for you and your family Cycle to Work scheme Employee Assistance Program Apply now or call to find out more about this Data Engineer (Python SQL AWS) opportunity.
06/11/2026
Full time
Data Engineer (Python SQL AWS) London / WFH to £85k Do you have experience of building data pipelines within finance / Fintech environments? You could be progressing your career in a hands-on Data Engineer role at a scaling Investment Research tech company with great benefits and perks. As a Data Engineer you will be at the intersection of data engineering, database management and platform delivery. You will help build and evolve a modern, scalable AWS cloud based data platform. Your focus will be on designing and maintaining data pipelines, ingestion frameworks and processing workflows, supporting the migration of existing datasets into a unified data architecture. Collaborating closely with the Data Platform Engineer, you will contribute to platform design, data modelling, database optimisation and the onboarding of new data sources. You'll also assist with managing and optimising PostgreSQL and time-series database environments, improving data quality and governance and ensuring platform reliability, performance and scalability. Location / WFH: You'll join colleagues in the London office three days a week with flexibility to work from home the other two days. About you: You have experience as a Data Engineer, ideally working with financial data / market data in a FinTech or financial services environment You have strong SQL and Python coding skills You have AWS experience, including Data Lakes and S3 You have experience of building and supporting large scale data pipelines You have experience with PostgreSQL You have experience with times series data, they use TimescaleDB but other experience with similar platforms is fine You have experience with Orchestration platforms such as Dagster or Airflow You're collaborative with great communication skills What's in it for you: Salary to £85k + bonus X3 weeks per year work anywhere 25 days holiday, increasing to 30 Pension 9% (company contributes 5%, employee contributes 4%) Healthcare for you and your family Cycle to Work scheme Employee Assistance Program Apply now or call to find out more about this Data Engineer (Python SQL AWS) opportunity.
Senior Data Engineer (Azure Databricks) London / WFH to £95k Are you a technologist Data Engineer with experience of working in regulated financial environments? You could be progressing your career at a specialist FinTech and Investment technology business. As a Senior Data Engineer / Architect, you'll take a hands-on lead role in shaping and developing the company's data platform. You'll design and build robust Databricks pipelines, develop reusable data products and medallion architecture and help modernise the data estate, migrating legacy data stores, stored procedures and SSRS reporting onto a governed, scalable platform. Collaborating with the Head of Engineering, platform engineers, data governance colleagues and the existing data team, you'll influence data architecture and engineering standards while remaining actively involved in delivery. You'll also help drive the adoption of AI assisted and agentic development, ensuring AI generated code and data solutions are properly designed, tested and controlled. Location / WFH: You'll join colleagues in the London, City office 2-3 days with flexibility to work from home in a hybrid model. About you: You are an experienced Data Engineer keen to take ownership and drive technical transformation You have a strong knowledge of Databricks combined with a good understanding of SQL and SSRS, experience with Azure Data Lakes nice to have You have experience of working in regulated finance / FinTech environments You have experience with data transformation and modernising reporting You have experience using Agentic AI tools You're collaborative with great communication and problem solving skills What's in it for you: Salary to £95k Private medical and dental insurance plus Virtual GP / Nurse appointments Life Assurance and Income Protection Pension to 15% Holiday allowance starting at 25 days, and rising with service Spend up to 4 weeks working abroad Enhanced family leave (maternity, paternity, adoption) Training, development and study sponsorship Regular social events calendar and wellbeing activities Quarterly recognition and reward events Apply now to find out more about this Senior Data Engineer (Azure Databricks) opportunity.
06/11/2026
Full time
Senior Data Engineer (Azure Databricks) London / WFH to £95k Are you a technologist Data Engineer with experience of working in regulated financial environments? You could be progressing your career at a specialist FinTech and Investment technology business. As a Senior Data Engineer / Architect, you'll take a hands-on lead role in shaping and developing the company's data platform. You'll design and build robust Databricks pipelines, develop reusable data products and medallion architecture and help modernise the data estate, migrating legacy data stores, stored procedures and SSRS reporting onto a governed, scalable platform. Collaborating with the Head of Engineering, platform engineers, data governance colleagues and the existing data team, you'll influence data architecture and engineering standards while remaining actively involved in delivery. You'll also help drive the adoption of AI assisted and agentic development, ensuring AI generated code and data solutions are properly designed, tested and controlled. Location / WFH: You'll join colleagues in the London, City office 2-3 days with flexibility to work from home in a hybrid model. About you: You are an experienced Data Engineer keen to take ownership and drive technical transformation You have a strong knowledge of Databricks combined with a good understanding of SQL and SSRS, experience with Azure Data Lakes nice to have You have experience of working in regulated finance / FinTech environments You have experience with data transformation and modernising reporting You have experience using Agentic AI tools You're collaborative with great communication and problem solving skills What's in it for you: Salary to £95k Private medical and dental insurance plus Virtual GP / Nurse appointments Life Assurance and Income Protection Pension to 15% Holiday allowance starting at 25 days, and rising with service Spend up to 4 weeks working abroad Enhanced family leave (maternity, paternity, adoption) Training, development and study sponsorship Regular social events calendar and wellbeing activities Quarterly recognition and reward events Apply now to find out more about this Senior Data Engineer (Azure Databricks) opportunity.
Reporting to: Head of Technology & Data Location: London WC1X Contract and hours: Fixed term 1 year contract with possibility for extension - 35 hours per week (Monday to Friday). Open to 0.6 - 1.0 FTE (21-35 hours per week) at pro-rata rate. About the role We have an exciting opportunity to join our team in London as a Data Engineer. This role will enable us to get the most out of our data and systems, by shaping our modern Microsoft Fabric based data platform, demonstrating our impact and driving decision making. As a small organisation with a low volume, but a high diversity of data, we're looking for someone who can develop end to end solutions - with a range of skills such as extraction, transformation, modelling, reporting, analysis, requirements gathering, training and data communication. We don't expect the successful candidate to be an expert in every area, but to apply their expertise to make this role their own, actively learn on the job and deliver significant value from data. By integrating data systems and building effective data models, this role will help us generate complete pictures of our environment, enabling positive experiences and strong decision making. This role will also help staff learn to engage with data and AI tools. The main responsibilities of this role are: 1. Own the Microsoft Fabric based Data Platform, by actively identifying areas for improvement, shaping the roadmap, and delivering enhancements. 2. Design, develop and maintain data flows, models, reports and data tests, with a high standard of reliability, security and accuracy. 3. Create and run training sessions for staff to learn how to use data and AI, and provide mentoring or guidance for staff who want to self-serve. 4. Ensure the data platform complies with our data protection policies and privacy legislation, and support the Technology & Data team in handling GDPR requests, DPIAs and breach reporting. 5. Be an active member of our helpdesk by effectively and compassionately responding to data queries, requests and tickets. 6. Maintain useful and accurate documentation and data definitions to ensure the long term maintainability of the data platform. 7. Any other tasks as reasonably requested by Head of Technology & Data. About You We're looking for someone who can work with people to understand what they need and then work with data to make that happen. The successful candidate will have: Data skills in one or more of architecture, engineering, visualisation, modelling or reporting. Experience creating well designed and effective semantic models and measures (preferably in Power BI). Experience working directly with end users to explore their needs, prioritise competing demands and manage stakeholders to align vision. Experience using AI and LLMs to benefit Data Engineering workflows. Knowledge in, or demonstrate ability to quickly learn, PySpark, SparkSQL, Delta tables, notebooks, pipelines and Git. An ability to integrate data using REST or oData API endpoints. An ability to implement data tests and monitoring processes that flag data quality issues before they impact users. Agile project experience or management. An ideal candidate would also have: Experience with Dynamics 365, Business Central or Grant Management Systems. Data architecture experience. Advanced AI experience, such as creating tools that use LLM API endpoints or conducting ML analysis. Experience creating and using CI/CD pipelines to enable automation, automatic testing and safe releases. For full details of the role and how to apply please click 'Apply/Apply now' and visit our website.
06/11/2026
Full time
Reporting to: Head of Technology & Data Location: London WC1X Contract and hours: Fixed term 1 year contract with possibility for extension - 35 hours per week (Monday to Friday). Open to 0.6 - 1.0 FTE (21-35 hours per week) at pro-rata rate. About the role We have an exciting opportunity to join our team in London as a Data Engineer. This role will enable us to get the most out of our data and systems, by shaping our modern Microsoft Fabric based data platform, demonstrating our impact and driving decision making. As a small organisation with a low volume, but a high diversity of data, we're looking for someone who can develop end to end solutions - with a range of skills such as extraction, transformation, modelling, reporting, analysis, requirements gathering, training and data communication. We don't expect the successful candidate to be an expert in every area, but to apply their expertise to make this role their own, actively learn on the job and deliver significant value from data. By integrating data systems and building effective data models, this role will help us generate complete pictures of our environment, enabling positive experiences and strong decision making. This role will also help staff learn to engage with data and AI tools. The main responsibilities of this role are: 1. Own the Microsoft Fabric based Data Platform, by actively identifying areas for improvement, shaping the roadmap, and delivering enhancements. 2. Design, develop and maintain data flows, models, reports and data tests, with a high standard of reliability, security and accuracy. 3. Create and run training sessions for staff to learn how to use data and AI, and provide mentoring or guidance for staff who want to self-serve. 4. Ensure the data platform complies with our data protection policies and privacy legislation, and support the Technology & Data team in handling GDPR requests, DPIAs and breach reporting. 5. Be an active member of our helpdesk by effectively and compassionately responding to data queries, requests and tickets. 6. Maintain useful and accurate documentation and data definitions to ensure the long term maintainability of the data platform. 7. Any other tasks as reasonably requested by Head of Technology & Data. About You We're looking for someone who can work with people to understand what they need and then work with data to make that happen. The successful candidate will have: Data skills in one or more of architecture, engineering, visualisation, modelling or reporting. Experience creating well designed and effective semantic models and measures (preferably in Power BI). Experience working directly with end users to explore their needs, prioritise competing demands and manage stakeholders to align vision. Experience using AI and LLMs to benefit Data Engineering workflows. Knowledge in, or demonstrate ability to quickly learn, PySpark, SparkSQL, Delta tables, notebooks, pipelines and Git. An ability to integrate data using REST or oData API endpoints. An ability to implement data tests and monitoring processes that flag data quality issues before they impact users. Agile project experience or management. An ideal candidate would also have: Experience with Dynamics 365, Business Central or Grant Management Systems. Data architecture experience. Advanced AI experience, such as creating tools that use LLM API endpoints or conducting ML analysis. Experience creating and using CI/CD pipelines to enable automation, automatic testing and safe releases. For full details of the role and how to apply please click 'Apply/Apply now' and visit our website.
Location The locations for these roles are Newport and Titchfield (Fareham). This role is aligned to ONS hybrid working principles, which are based on attending the office with purpose. The postholder will be expected to contribute to the organisation's overall 40% office attendance, in line with business and role requirements. The induction process for the role will be conducted in person. Please note only candidates living and working in either England or Wales will be eligible to apply for this role due to the requirements of the apprenticeship providers. About the job Job summary The Office for National Statistics (ONS) is the UK's largest producer of official statistics, covering a range of key economic, social and demographic topics. These include measuring changes in the value of the UK economy, estimating the size, geographic distribution and characteristics of the population, and providing indicators of price inflation, employment, earnings, crime and migration. If you are interested in an exciting career in data and technology and want to become a highly skilled tech professional, we are seeking 5 people who are passionate about data and technology to join our Data Engineering teams on an apprenticeship programme. If you are looking for a career change, or perhaps a school leaver looking at alternatives to full-time class-based learning this may be the perfect opportunity for you. We are looking for candidates who want to make the most of data, love a challenge, and want to make a real difference in the quality of National Statistics. You do not have to be skilled in data engineering as full training will be provided, along with a nationally recognised qualification through an apprenticeship provider. Do you have a desire to learn how to translate technical concepts into non-technical language and to learn what communication is required between internal and external stakeholders? Do you have a desire to learn how to build extract transform load (ETL) pipelines that facilitate the movement and transformation of data across ONS systems? Do you have a desire to learn how to optimise the performance of our queries and data pipelines. Do you have a desire learn how to use industry wide tools such as Python, SQL, Cloudera Data Platform and Google Cloud Platform? Would you like to find opportunities for innovation with new tools and uses of data? Then we'd like to hear from you Please note - We will be holding a candidate information session on Monday 9th November at 12:00 noon. If you're interested in finding out more, please join here - Click here Job description The roles will be working in Data Products, Services and Governance (DPSG), which sits centrally within ONS, provides a cross-ONS capability for data, including data access and preparation, and the provision of data and linked data products.DPSG develops and manages the systems and processes that underpin the distribution of data across ONS and beyond. DPSG provides data to ONS, academia, wider government, and other external users in a safe and controlled way, supporting and encouraging users to maximise data utility, enabling innovation and statistical and research use. As a Data Engineer Apprentice, you will study towards a Level 4 Data Analyst apprenticeship and combine your job and hands-on experience with virtual learning and will include one to-one with tutors and mentors, tutorials, and research projects. You will work with appropriate technologies as a Data Engineer apprentice, you'll gain the technical expertise to take your career in an exciting new direction. By the end of the apprenticeship, you will have achieved an industry-standard qualification and have the skills to progress your career in line with your aspirations. Responsibilities Identify, collect, and migrate data to/from a range of internal and external systems. Use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data. Assist with data quality checking and cleansing and how to resolve issues. Assist production of data visualisation including performance dashboards and reports. Summarise and present the results of data analysis to a range of stakeholders Application of coding standards. Write clear and well documented code in Python using industry and organisational best practices Business Analysis/ User requirements validation; Matching and linking of datasets using statistical matching techniques; Become familiar with Cloud developments and technology Part-time candidates will be considered, subject to a minimum of 30 hours per week , apprenticeship provider requirements and business needs. What qualfication will I get? The programme will be 2 years and will be delivered by assigned external training providers. The apprenticeship will support apprentices to develop their capability in data engineering. As well as training and support from the external training providers you will have support from a dedicated, highly experienced data engineering mentor. All apprentices who successfully meet the scheme's milestones will receive a Level 4 Data Analyst Diploma. You will gain experience to help you work towards your qualification, as well as attending formal training and other development opportunities that will consist of 20% off the job learning. You will develop other skills that will aid you in the workplace, such as organisation, communication, the ability to work under pressure, teamwork, and lots more, giving you a real and valuable insight into the industry. Person specification Essential Criteria Can manage own workload, and work effectively as part of a team, to ensure deadlines or outputs are met. Can analyse information or evidence from a variety of sources to draw conclusions and inform decision making. Can communicate complex or technical ideas, both in writing and verbally, to stakeholder with differing levels of knowledge or experience. Identifies opportunities to make improvements and gets the support of relevant people to implement the changes. Takes opportunities to develop own skills and share knowledge with colleagues. A passion for technology and a keen technical interest. Standard eligibility criteria for apprenticeships apply: You must reside and work in England or Wales. You must have been at least 16 years old by 31st August 2026. You must not already have an equivalent qualification of the same type, content, and level (or higher). (Example computer science degree) You must not be in fulltime education or undertaking another apprenticeship at the same time. You should hold a GCSE in Maths and English at Grade C or above, an equivalent qualification, or relevant experience in lieu of a qualification may be considered. The training provider makes the final decision on whether funding can be provided per person and the job offer will be made on the condition that funding is available.
06/11/2026
Full time
Location The locations for these roles are Newport and Titchfield (Fareham). This role is aligned to ONS hybrid working principles, which are based on attending the office with purpose. The postholder will be expected to contribute to the organisation's overall 40% office attendance, in line with business and role requirements. The induction process for the role will be conducted in person. Please note only candidates living and working in either England or Wales will be eligible to apply for this role due to the requirements of the apprenticeship providers. About the job Job summary The Office for National Statistics (ONS) is the UK's largest producer of official statistics, covering a range of key economic, social and demographic topics. These include measuring changes in the value of the UK economy, estimating the size, geographic distribution and characteristics of the population, and providing indicators of price inflation, employment, earnings, crime and migration. If you are interested in an exciting career in data and technology and want to become a highly skilled tech professional, we are seeking 5 people who are passionate about data and technology to join our Data Engineering teams on an apprenticeship programme. If you are looking for a career change, or perhaps a school leaver looking at alternatives to full-time class-based learning this may be the perfect opportunity for you. We are looking for candidates who want to make the most of data, love a challenge, and want to make a real difference in the quality of National Statistics. You do not have to be skilled in data engineering as full training will be provided, along with a nationally recognised qualification through an apprenticeship provider. Do you have a desire to learn how to translate technical concepts into non-technical language and to learn what communication is required between internal and external stakeholders? Do you have a desire to learn how to build extract transform load (ETL) pipelines that facilitate the movement and transformation of data across ONS systems? Do you have a desire to learn how to optimise the performance of our queries and data pipelines. Do you have a desire learn how to use industry wide tools such as Python, SQL, Cloudera Data Platform and Google Cloud Platform? Would you like to find opportunities for innovation with new tools and uses of data? Then we'd like to hear from you Please note - We will be holding a candidate information session on Monday 9th November at 12:00 noon. If you're interested in finding out more, please join here - Click here Job description The roles will be working in Data Products, Services and Governance (DPSG), which sits centrally within ONS, provides a cross-ONS capability for data, including data access and preparation, and the provision of data and linked data products.DPSG develops and manages the systems and processes that underpin the distribution of data across ONS and beyond. DPSG provides data to ONS, academia, wider government, and other external users in a safe and controlled way, supporting and encouraging users to maximise data utility, enabling innovation and statistical and research use. As a Data Engineer Apprentice, you will study towards a Level 4 Data Analyst apprenticeship and combine your job and hands-on experience with virtual learning and will include one to-one with tutors and mentors, tutorials, and research projects. You will work with appropriate technologies as a Data Engineer apprentice, you'll gain the technical expertise to take your career in an exciting new direction. By the end of the apprenticeship, you will have achieved an industry-standard qualification and have the skills to progress your career in line with your aspirations. Responsibilities Identify, collect, and migrate data to/from a range of internal and external systems. Use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data. Assist with data quality checking and cleansing and how to resolve issues. Assist production of data visualisation including performance dashboards and reports. Summarise and present the results of data analysis to a range of stakeholders Application of coding standards. Write clear and well documented code in Python using industry and organisational best practices Business Analysis/ User requirements validation; Matching and linking of datasets using statistical matching techniques; Become familiar with Cloud developments and technology Part-time candidates will be considered, subject to a minimum of 30 hours per week , apprenticeship provider requirements and business needs. What qualfication will I get? The programme will be 2 years and will be delivered by assigned external training providers. The apprenticeship will support apprentices to develop their capability in data engineering. As well as training and support from the external training providers you will have support from a dedicated, highly experienced data engineering mentor. All apprentices who successfully meet the scheme's milestones will receive a Level 4 Data Analyst Diploma. You will gain experience to help you work towards your qualification, as well as attending formal training and other development opportunities that will consist of 20% off the job learning. You will develop other skills that will aid you in the workplace, such as organisation, communication, the ability to work under pressure, teamwork, and lots more, giving you a real and valuable insight into the industry. Person specification Essential Criteria Can manage own workload, and work effectively as part of a team, to ensure deadlines or outputs are met. Can analyse information or evidence from a variety of sources to draw conclusions and inform decision making. Can communicate complex or technical ideas, both in writing and verbally, to stakeholder with differing levels of knowledge or experience. Identifies opportunities to make improvements and gets the support of relevant people to implement the changes. Takes opportunities to develop own skills and share knowledge with colleagues. A passion for technology and a keen technical interest. Standard eligibility criteria for apprenticeships apply: You must reside and work in England or Wales. You must have been at least 16 years old by 31st August 2026. You must not already have an equivalent qualification of the same type, content, and level (or higher). (Example computer science degree) You must not be in fulltime education or undertaking another apprenticeship at the same time. You should hold a GCSE in Maths and English at Grade C or above, an equivalent qualification, or relevant experience in lieu of a qualification may be considered. The training provider makes the final decision on whether funding can be provided per person and the job offer will be made on the condition that funding is available.
Data Architect/Lead Data Engineer Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000 £110,000 A fast-growing international fintech organisation is looking for a genuinely hands-on Data Architect who's just as comfortable building pipelines as designing platforms. This is a two-hats role: you'll be both the architect behind the data platform and the engineer who gets it built, acting as the go-to person for all things data engineering across the business. you'll be central to every data design decision, shaping how data flows, is modelled, and is used across a modern Azure, Databricks and Snowflake ecosystem. If you enjoy setting the direction and rolling your sleeves up to deliver it, rather than handing designs over to someone else, this role is built for you. What you'll Be Doing Wearing two hats: owning the data architecture while staying hands-on as a senior data engineer Acting as the go-to expert for all data engineering questions, standards and decisions Leading the design of all data solutions, from conceptual and logical models through to physical implementation Building and maintaining scalable pipelines and lakehouse solutions using Azure Databricks, Spark and Delta Lake Designing and optimising Snowflake environments for performance, scalability and cost Supporting batch, streaming and Real Time data processing, including high-volume transactional data Embedding best practice across governance, lineage, metadata and data quality Driving automation through CI/CD and Infrastructure as Code Working closely with engineering, analytics and data science teams as the trusted data voice in the room Evaluating new technologies and shaping the long-term platform roadmap What you'll Bring A strong Azure background, with experience designing and building data platforms in Microsoft Azure environments Hands-on, current engineering skills: you still write the code, not just the diagrams Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake and Lakehouse architecture Strong Snowflake architecture and optimisation experience Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics and/or Microsoft Fabric Solid data modelling knowledge across Kimball, Inmon and Data Vault Strong SQL, Python, Spark and Snowflake SQL skills Experience with CI/CD and IaC tools such as Terraform, ARM or Bicep Knowledge of governance and cataloguing tools such as Microsoft Purview The confidence to own design decisions and be the person others turn to for data expertise Highly Desirable Experience working with payments systems or payments data (eg transaction processing, settlement, reconciliation) Background in fintech or financial services Certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Associate/Professional or SnowPro Core If you re a hands-on data architect who wants to own the design and still build the thing, and you'd like to be the go-to data expert in a growing fintech, we'd love to hear from you. Salary: £100,000 £110,000 Location: Remote first (UK), with monthly London meetups
06/11/2026
Full time
Data Architect/Lead Data Engineer Azure, Databricks & Snowflake Remote First (UK) | Monthly London Meetups | £100,000 £110,000 A fast-growing international fintech organisation is looking for a genuinely hands-on Data Architect who's just as comfortable building pipelines as designing platforms. This is a two-hats role: you'll be both the architect behind the data platform and the engineer who gets it built, acting as the go-to person for all things data engineering across the business. you'll be central to every data design decision, shaping how data flows, is modelled, and is used across a modern Azure, Databricks and Snowflake ecosystem. If you enjoy setting the direction and rolling your sleeves up to deliver it, rather than handing designs over to someone else, this role is built for you. What you'll Be Doing Wearing two hats: owning the data architecture while staying hands-on as a senior data engineer Acting as the go-to expert for all data engineering questions, standards and decisions Leading the design of all data solutions, from conceptual and logical models through to physical implementation Building and maintaining scalable pipelines and lakehouse solutions using Azure Databricks, Spark and Delta Lake Designing and optimising Snowflake environments for performance, scalability and cost Supporting batch, streaming and Real Time data processing, including high-volume transactional data Embedding best practice across governance, lineage, metadata and data quality Driving automation through CI/CD and Infrastructure as Code Working closely with engineering, analytics and data science teams as the trusted data voice in the room Evaluating new technologies and shaping the long-term platform roadmap What you'll Bring A strong Azure background, with experience designing and building data platforms in Microsoft Azure environments Hands-on, current engineering skills: you still write the code, not just the diagrams Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake and Lakehouse architecture Strong Snowflake architecture and optimisation experience Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics and/or Microsoft Fabric Solid data modelling knowledge across Kimball, Inmon and Data Vault Strong SQL, Python, Spark and Snowflake SQL skills Experience with CI/CD and IaC tools such as Terraform, ARM or Bicep Knowledge of governance and cataloguing tools such as Microsoft Purview The confidence to own design decisions and be the person others turn to for data expertise Highly Desirable Experience working with payments systems or payments data (eg transaction processing, settlement, reconciliation) Background in fintech or financial services Certifications such as Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Associate/Professional or SnowPro Core If you re a hands-on data architect who wants to own the design and still build the thing, and you'd like to be the go-to data expert in a growing fintech, we'd love to hear from you. Salary: £100,000 £110,000 Location: Remote first (UK), with monthly London meetups
Talend/Denodo/AWS/Oracle RDS Data Engineer - Telford and remote - 6 months+/RATE: £475 per day inside IR35/START DATE: JANUARY One of our Blue Chip Clients is urgently looking for a Talend/Denodo/AWS/Oracle RDS Data Engineer. Please find some details below: Clearance Required: Candidates can start with BPSS only and will be put through the SC process once they join. Duration: 6 months - starting in early January 2027 Location: Telford with 2 days/week in office Job Description: Demand on the in the ITDE programme area has increased dramatically necessitating developers to support the build activities to re-start the Data Extract for Exploitation project This developer role will be primarily working on Talend, Denodo, and Oracle RDS systems, making use of our existing Talend framework and patterns. Experience of ETL tooling will be needed, preferably Talend but Pentaho/Informatica experience will be transferable. Experience working in Oracle RDS databases will also be required. Job spec: Develop project artefacts including (but not limited to) Talend jobs, Denodo virtualisation views, Oracle DDL and SQL, GitLab Pipeline enhancements Investigate and resolve any defects/issues raised during testing phases. Review colleagues development and test artefacts. Support for Production promotion and warranty' support Conduct Component Testing of developed artefacts (including test data creation) Support QAs in conducting test phases and debugging issues identified throughout the development life cycle Create and execute test packs for Component Test automation Support Performance Testing phase Provide support and guidance to colleagues and mentor junior engineers Reporting to Lead engineer and any scrum-of-scrum discussions Required Skills SC Clearance is preferable but not required (SC waiver in place to onboard with BPSS only) Talend experience Denodo experience AWS experience Oracle RDS experience Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
05/11/2026
Contractor
Talend/Denodo/AWS/Oracle RDS Data Engineer - Telford and remote - 6 months+/RATE: £475 per day inside IR35/START DATE: JANUARY One of our Blue Chip Clients is urgently looking for a Talend/Denodo/AWS/Oracle RDS Data Engineer. Please find some details below: Clearance Required: Candidates can start with BPSS only and will be put through the SC process once they join. Duration: 6 months - starting in early January 2027 Location: Telford with 2 days/week in office Job Description: Demand on the in the ITDE programme area has increased dramatically necessitating developers to support the build activities to re-start the Data Extract for Exploitation project This developer role will be primarily working on Talend, Denodo, and Oracle RDS systems, making use of our existing Talend framework and patterns. Experience of ETL tooling will be needed, preferably Talend but Pentaho/Informatica experience will be transferable. Experience working in Oracle RDS databases will also be required. Job spec: Develop project artefacts including (but not limited to) Talend jobs, Denodo virtualisation views, Oracle DDL and SQL, GitLab Pipeline enhancements Investigate and resolve any defects/issues raised during testing phases. Review colleagues development and test artefacts. Support for Production promotion and warranty' support Conduct Component Testing of developed artefacts (including test data creation) Support QAs in conducting test phases and debugging issues identified throughout the development life cycle Create and execute test packs for Component Test automation Support Performance Testing phase Provide support and guidance to colleagues and mentor junior engineers Reporting to Lead engineer and any scrum-of-scrum discussions Required Skills SC Clearance is preferable but not required (SC waiver in place to onboard with BPSS only) Talend experience Denodo experience AWS experience Oracle RDS experience Please send CV for full details and immediate interviews. We are a preferred supplier to the client.
Role: Data Engineer Type: Contract (Inside IR35) Location: Newcastle (Hybrid - Occasional travel) Duration: 5-6 months Clearance Required: SC Eligible Role Overview We are seeking an experienced Data Engineer to support the development and enhancement of large-scale data services within a modern cloud-based environment. This role is ideal for a professional who combines strong data engineering expertise with experience in operational analytics, reporting, and observability platforms . You will be responsible for building and maintaining scalable data pipelines, integrating data from multiple sources, and delivering data products that support business operations and decision-making. Working within Agile delivery teams, you will collaborate with technical and non-technical stakeholders to develop robust, secure, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines and integration solutions. Build and optimise ETL/ELT processes for ingesting and transforming data from multiple sources. Develop and maintain SQL-based data models and datasets. Create and enhance reporting and dashboard solutions using Qlik technologies. Utilise Kibana and Elasticsearch for operational analytics, monitoring, and data exploration. Integrate data from APIs, databases, and third-party services. Ensure data quality, consistency, governance, and documentation standards are met. Support and enhance cloud-native data services within AWS environments. Implement and maintain CI/CD deployment pipelines and version control processes. Work closely with stakeholders to gather requirements and translate business needs into technical solutions. Contribute to Agile ceremonies, sprint planning, estimation, and continuous improvement initiatives. Essential Skills & Experience Strong commercial experience as a Data Engineer, Analytics Engineer, ETL Developer , or similar role. Proven expertise in SQL and data modelling . Experience designing and supporting ETL/ELT and data integration solutions. Strong hands-on experience with: Qlik Sense and/or QlikView Kibana Elasticsearch / ELK Stack Experience building and maintaining data pipelines. Knowledge of dashboarding and data visualisation best practices. Experience working with AWS cloud services and cloud-native architectures. API-based data ingestion and integration experience. Experience with Git and CI/CD deployment practices. Strong understanding of Agile delivery methodologies . Excellent stakeholder management and communication skills. Desirable Experience Government, Public Sector , or highly regulated industry experience. Experience supporting live digital services or operational platforms. Knowledge of data governance and data quality frameworks. Exposure to observability, monitoring, or service analytics environments. Previous experience working within secure or SC-cleared programmes. Apply Now If you have strong experience across Qlik, Kibana, Elasticsearch, SQL, ETL/ELT, AWS, and Data Engineering , we'd love to hear from you. Submit your CV today for immediate consideration.
05/11/2026
Contractor
Role: Data Engineer Type: Contract (Inside IR35) Location: Newcastle (Hybrid - Occasional travel) Duration: 5-6 months Clearance Required: SC Eligible Role Overview We are seeking an experienced Data Engineer to support the development and enhancement of large-scale data services within a modern cloud-based environment. This role is ideal for a professional who combines strong data engineering expertise with experience in operational analytics, reporting, and observability platforms . You will be responsible for building and maintaining scalable data pipelines, integrating data from multiple sources, and delivering data products that support business operations and decision-making. Working within Agile delivery teams, you will collaborate with technical and non-technical stakeholders to develop robust, secure, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines and integration solutions. Build and optimise ETL/ELT processes for ingesting and transforming data from multiple sources. Develop and maintain SQL-based data models and datasets. Create and enhance reporting and dashboard solutions using Qlik technologies. Utilise Kibana and Elasticsearch for operational analytics, monitoring, and data exploration. Integrate data from APIs, databases, and third-party services. Ensure data quality, consistency, governance, and documentation standards are met. Support and enhance cloud-native data services within AWS environments. Implement and maintain CI/CD deployment pipelines and version control processes. Work closely with stakeholders to gather requirements and translate business needs into technical solutions. Contribute to Agile ceremonies, sprint planning, estimation, and continuous improvement initiatives. Essential Skills & Experience Strong commercial experience as a Data Engineer, Analytics Engineer, ETL Developer , or similar role. Proven expertise in SQL and data modelling . Experience designing and supporting ETL/ELT and data integration solutions. Strong hands-on experience with: Qlik Sense and/or QlikView Kibana Elasticsearch / ELK Stack Experience building and maintaining data pipelines. Knowledge of dashboarding and data visualisation best practices. Experience working with AWS cloud services and cloud-native architectures. API-based data ingestion and integration experience. Experience with Git and CI/CD deployment practices. Strong understanding of Agile delivery methodologies . Excellent stakeholder management and communication skills. Desirable Experience Government, Public Sector , or highly regulated industry experience. Experience supporting live digital services or operational platforms. Knowledge of data governance and data quality frameworks. Exposure to observability, monitoring, or service analytics environments. Previous experience working within secure or SC-cleared programmes. Apply Now If you have strong experience across Qlik, Kibana, Elasticsearch, SQL, ETL/ELT, AWS, and Data Engineering , we'd love to hear from you. Submit your CV today for immediate consideration.
