Agilis Recruitment Ltd
SENIOR DATA ENGINEER UP TO £70,000 DOE REMOTE We are seeking experienced Data Engineers to join a growing team within a large, long-standing public-sector partnership. In this pivotal role, you will contribute to data acquisition, preparation and management projects, helping to modernise services and deliver secure, reliable data products at scale. This is an exciting opportunity to shape engineering design, grow capability across their teams, and deliver real value for our clients. The role: Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time). Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs. Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security). Support incident resolution and ensure service continuity. Share knowledge, mentor colleagues, and contribute to Capgemini's engineering communities of practice. Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams. WHAT YOU'LL BRING Our team delivers solutions across a wide range of technologies, and so we are looking for candidates with strong knowledge in data engineering fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling. You'll need: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash). Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control. Excellent client-facing and consultancy skills. Experience working in Agile delivery environments. Drive to share knowledge, mentoring and developing others. Active SC Clearance, or eligibility to obtain. Desirable: SAS Viya for data analytics. Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow). Denodo for data virtualisation. Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects). ALM Tooling (Jira, Confluence). CI/CD (GitLab). Agilis Recruitment LTD is acting as an agency on behalf of our client. We value diversity and equal opportunity. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you do not hear back within 5 working days of your application, please assume you have been unsuccessful in this instance.
SENIOR DATA ENGINEER UP TO £70,000 DOE REMOTE We are seeking experienced Data Engineers to join a growing team within a large, long-standing public-sector partnership. In this pivotal role, you will contribute to data acquisition, preparation and management projects, helping to modernise services and deliver secure, reliable data products at scale. This is an exciting opportunity to shape engineering design, grow capability across their teams, and deliver real value for our clients. The role: Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time). Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs. Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security). Support incident resolution and ensure service continuity. Share knowledge, mentor colleagues, and contribute to Capgemini's engineering communities of practice. Actively participate in Agile ceremonies and work cross-functionally with engineers, analysts and business teams. WHAT YOU'LL BRING Our team delivers solutions across a wide range of technologies, and so we are looking for candidates with strong knowledge in data engineering fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling. You'll need: Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera). Knowledge of cloud platforms (ideally AWS). Good experience with programming/scripting languages (e.g. Python, Bash). Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control. Excellent client-facing and consultancy skills. Experience working in Agile delivery environments. Drive to share knowledge, mentoring and developing others. Active SC Clearance, or eligibility to obtain. Desirable: SAS Viya for data analytics. Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow). Denodo for data virtualisation. Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects). ALM Tooling (Jira, Confluence). CI/CD (GitLab). Agilis Recruitment LTD is acting as an agency on behalf of our client. We value diversity and equal opportunity. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you do not hear back within 5 working days of your application, please assume you have been unsuccessful in this instance.
Agilis Recruitment Ltd
SC Cleared Data Engineer Salary: Up to £70k (DOE) P/A Agilis Recruitment are supporting a key client, a world leading Technology Consultancy in their search for experienced data engineers with Active SC Clearance . These roles will contribute to data acquisition, Preparation and management, helping modernise services and deliver secure, Reliable data products at scale. WHAT YOU'LL BRING The team delivers Solutions across a wide range of technologies, and so are looking for candidates with strong knowledge in data engineering fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling. Essential skills and experience: - Strong SQL and hands-on experience with data modelling. - Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). - Experience with databases/data platforms (ideally Oracle or Cloudera). - Knowledge of cloud platforms (ideally AWS). - Good experience with programming/scripting languages (e.g. Python, Bash). - Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control. - Excellent client-facing and consultancy skills. - Experience working in Agile delivery environments. - Drive to share knowledge, mentoring and developing others. Desirable to have skills or experience in: - SAS Viya for data analytics. - Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow). - Denodo for data virtualisation. - Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects). - ALM Tooling (Jira, Confluence). - CI/CD (GitLab). PLEASE NOTE: All candidates must have Active SC Clearance. Agilis Recruitment LTD is acting as an agency on behalf of our client. We value diversity and equal opportunity. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you do not hear back within 5 working days of your application, please assume you have been unsuccessful in this instance.
SC Cleared Data Engineer Salary: Up to £70k (DOE) P/A Agilis Recruitment are supporting a key client, a world leading Technology Consultancy in their search for experienced data engineers with Active SC Clearance . These roles will contribute to data acquisition, Preparation and management, helping modernise services and deliver secure, Reliable data products at scale. WHAT YOU'LL BRING The team delivers Solutions across a wide range of technologies, and so are looking for candidates with strong knowledge in data engineering fundamentals, with ability to operate at all stages of the delivery lifecycle, with an interest in learning and cross-skilling. Essential skills and experience: - Strong SQL and hands-on experience with data modelling. - Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). - Experience with databases/data platforms (ideally Oracle or Cloudera). - Knowledge of cloud platforms (ideally AWS). - Good experience with programming/scripting languages (e.g. Python, Bash). - Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control. - Excellent client-facing and consultancy skills. - Experience working in Agile delivery environments. - Drive to share knowledge, mentoring and developing others. Desirable to have skills or experience in: - SAS Viya for data analytics. - Job Scheduling tooling (e.g. Berlin/JS7 Job Scheduler, TWS, Apache Airflow). - Denodo for data virtualisation. - Reporting and visualisation tooling (from Pentaho BA, Power BI, SAP Business Objects). - ALM Tooling (Jira, Confluence). - CI/CD (GitLab). PLEASE NOTE: All candidates must have Active SC Clearance. Agilis Recruitment LTD is acting as an agency on behalf of our client. We value diversity and equal opportunity. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you do not hear back within 5 working days of your application, please assume you have been unsuccessful in this instance.
