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BI Engineer

Job in Sunderland, Tyne and Wear, CA13, England, UK
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
Salary/Wage Range or Industry Benchmark: 48000 GBP Yearly GBP 48000.00 YEAR
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

Overview

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
Skills & Experience
  • 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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