Data Engineer; P
Listed on 2026-10-26
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Information Security & Data Protection
. The role is aligned to the Government Digital and Data Profession Capability Framework:
Data Engineer
:
Data engineer
- Government Digital and Data Profession Capability Framework
Data Pipelines and ETL
- Design and maintain ETL processes to extract, transform and load data from multiple sources.
- Optimise data pipelines using orchestration tools for smooth data flow.
- Implement monitoring and recovery to maintain data integrity.
- Build and manage data solutions on Azure (Data Lake, Synapse, Data Factory).
- Ensure systems are scalable, reliable and high-performing.
- Partner with data consumers to deliver solutions that meet business needs.
- Share knowledge and promote best practices within the team.
- Apply governance standards and maintain data quality and security.
- Document processes and enforce best practices.
- Understand modern data architecture principles (e.g., Data Lakes, medallion architecture).
- Support reporting and analytics, including integration with Power BI.
Skills and Experience Required
Experience in data engineering, including ETL design and implementation.
Proficiency in SQL for data manipulation and querying.
Hands-on experience with Azure data services (Synapse, Data Lake, Data Factory).
Strong problem-solving skills and attention to detail.
Good communication and collaboration skills.
Familiarity with data governance and quality frameworks.
Experience in financial services or similar regulated environments.
Knowledge of additional data engineering tools and technologies.
Proud member of the Disability Confident employer scheme
Data Engineer (P-)Company:
Reed Talent Solutions Salary:
Not specified
Hours:
Full-time
Location:
Bedford, MK40 1SU
Job type:
Permanent Posting date: 20 Oct 2026 Closing date: 19 Nov 2026
The Data Engineer reports to the
Senior
Data Engineer
. The role is aligned to the Government Digital and Data Profession Capability Framework:
Data Engineer
:
Data engineer
- Government Digital and Data Profession Capability Framework
Data Pipelines and ETL
- Design and maintain ETL processes to extract, transform and load data from multiple sources.
- Optimise data pipelines using orchestration tools for smooth data flow.
- Implement monitoring and recovery to maintain data integrity.
- Build and manage data solutions on Azure (Data Lake, Synapse, Data Factory).
- Ensure systems are scalable, reliable and high-performing.
- Partner with data consumers to deliver solutions that meet business needs.
- Share knowledge and promote best practices within the team.
- Apply governance standards and maintain data quality and security.
- Document processes and enforce best practices.
- Understand modern data architecture principles (e.g., Data Lakes, medallion architecture).
- Support reporting and analytics, including integration with Power BI.
Skills and Experience Required
- Experience in data engineering, including ETL design and implementation.
- Proficiency in SQL for data manipulation and querying.
- Hands-on experience with Azure data services (Synapse, Data Lake, Data Factory).
- Strong problem-solving skills and attention to detail.
- Good communication and collaboration skills.
Desirable Skills
- Familiarity with data governance and quality frameworks.
- Experience in financial services or similar regulated environments.
- Knowledge of additional data engineering tools and technologies.
Proud member of the Disability Confident employer scheme
About Disability Confident Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.
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