BI Engineer
Job in
Sunderland, Tyne and Wear, CA13, England, UK
Listed on 2026-05-15
Listing for:
La Fosse Associates
Full Time
position Listed on 2026-05-15
Job specializations:
-
IT/Tech
Data Engineer, Data Warehousing, Data Analyst, Data Science Manager
Job Description & How to Apply Below
Job Title
: BI Engineer
Type
:
Permanent, Full-Time
Location
:
North East or London (Hybrid – 3 days onsite)
Sector
:
Transportation
Salary
:
Circa. £48K
We’re hiring a BI Engineer focused on delivering scalable, high-quality data solutions for reporting and self-service insight.
Reporting to the Lead BI Engineer, you’ll partner with developers and business stakeholders to deliver well-structured datasets and reliable data pipelines. The role requires a blend of technical delivery and the ability to translate business requirements into effective data solutions.
Key Responsibilities- Build and maintain ETL/ELT pipelines to ingest, transform, and prepare data
- Develop and optimise datasets for reporting and analytics
- Implement data transformations using SQL and Python (incl. PySpark)
- Monitor, troubleshoot, and improve performance of data pipelines and queries
- Apply data quality controls and maintain clear documentation
- Contribute to ongoing improvements in data architecture and tooling
- Translate business requirements into scalable data solutions
- Partner with BI developers to support reporting and dashboard needs
- Engage stakeholders and support adoption of self-service analytics
- Work with platform teams on architecture, scalability, and performance
- Follow engineering standards and contribute to continuous improvement
- Support incident management and ongoing maintenance of BI solutions
- Experience with AWS data services (e.g. Redshift, Athena, S3, Glue, Lambda)
- Strong SQL skills
- Exposure to Snap Logic or similar integration platforms
- Proficiency in Python (including PySpark)
- Familiarity with modern data tooling (e.g. open table formats, DuckDB beneficial)
- Experience with version control (Git / Code Commit preferred)
- Awareness of BI tools (e.g. Quick Sight, Power BI, Tableau)
- Strong stakeholder engagement and requirements translation skills
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