Summary: The Data Engineer role involves developing, maintaining, and supporting data pipelines between BMfS applications and the Data & Digital Analytics Platform (DDAP). The position requires ensuring reliable ingestion, transformation, and availability of BMfS data for reporting and analytics. The role is hybrid, with visits to Bristol twice a month, and is a contract running until March 31, 2027. The position is classified as inside IR35 and requires active SC clearance or eligibility.
Key Responsibilities:
- Design, build, and support data pipelines and integrations between BMfS systems (e.g. case management, payments, workflow) and DDAP.
- Implement and maintain ETL/ELT processes, ensuring data is accurate, timely, and fit for purpose.
- Monitor, troubleshoot, and resolve data pipeline failures and performance issues in live service.
- Apply data quality checks, validation, and basic governance controls (e.g. schema, lineage, access).
- Work with analysts and service teams to ensure data is correctly structured for MI, reporting, and analytics.
Key Skills:
- Strong experience building and supporting data pipelines in cloud platforms (e.g. DDAP, AWS, Azure).
- Proficiency in SQL and Python (or similar) for data processing.
- Practical experience with data modelling and transformation for analytics use.
- Understanding of data quality, security, and live service support considerations.
- Ability to work within existing platform standards and integrate with operational systems and legacy data sources.
Salary (Rate): undetermined
City: Bristol
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
Role Title: Data Engineer
Duration: contract to run until 31/03/2027
Location: Hybrid. Bristol visits twice a month - predominantly remote
Rate: TBC Umbrella inside IR35
Clearance required: Active SC Clearance Desired. SC Eligible required
Role purpose / summary
Embedded within the Data & Digital Analytics Platform (DDAP). This role focuses on developing, maintaining, and supporting data pipelines between BMfS applications and DDAP. The postholder ensures BMfS data is reliably ingested, transformed, and made available for reporting, analytics, and operational use.
Key Responsibilities
- Design, build, and support data pipelines and integrations between BMfS systems (e.g. case management, payments, workflow) and DDAP.
- Implement and maintain ETL/ELT processes, ensuring data is accurate, timely, and fit for purpose.
- Monitor, troubleshoot, and resolve data pipeline failures and performance issues in live service.
- Apply data quality checks, validation, and basic governance controls (e.g. schema, lineage, access).
- Work with analysts and service teams to ensure data is correctly structured for MI, reporting, and analytics.
Skills & Experience (DDaT - Data Engineering Practitioner/Expert)
- Strong experience building and supporting data pipelines in cloud platforms (e.g. DDAP, AWS, Azure).
- Proficiency in SQL and Python (or similar) for data processing.
- Practical experience with data modelling and transformation for analytics use.
- Understanding of data quality, security, and live service support considerations.
- Ability to work within existing platform standards and integrate with operational systems and legacy data sources.
All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
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