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# Data Engineer

- **Company:** Jefferson Frank
- **Location:** Gateshead, UK
- **Contract:** Permanent contract
- **Skills:** Big Data, Information Engineering, Data Warehousing, Database Queries, Dimensional Modeling, Python (Programming Language), Power BI, Tableau (Software), Apache Spark, Data Pipelines
- **Published:** June 6, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gbc5f13e851c724578b1944d23f11655f5

## About the Role

* Proven experience in a BI / Data role
 * Strong SQL skills and experience working with large datasets
 * Hands-on experience with Python and Spark
 * Experience designing dimensional models
 * Experience with BI tools, Tableau or Power BI
 * Understanding of data warehousing concepts
 * Strong stakeholder engagement and communication skills

## Description

We're partnering with a growing, data-driven organisation that is investing heavily in its technology and analytics capabilities. As part of this journey, they are building out a modern Business Intelligence function to improve reporting accuracy, governance, and insight delivery across the business.
This is an excellent opportunity for a Data Engineer who wants to move beyond dashboarding and play a key role in shaping a scalable, enterprise-grade BI environment.
The Role
You'll join a newly established BI team with a strong mandate to transform how data is modelled, governed, and consumed. Working across both data modelling and reporting layers, you'll help build robust data foundations that support executive decision-making.
This role combines data engineering, data modelling, and reporting delivery - ideal for someone who enjoys working end-to-end within the BI lifecycle.
Key Responsibilities

 * Design and develop scalable data transformations using modern cloud technologies
 * Design, build and optimise scalable data pipelines to ingest, transform and load data from multiple source systems into a centralised data platform

 * Build and maintain performant star-schema data models aligned to business definitions
 * Develop and enhance dashboards and certified data sources for business stakeholders
 * Support governance initiatives including data definitions, documentation, and lineage
 * Collaborate with technical and non-technical stakeholders to deliver high-quality insights


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