Data Engineer

Jefferson Frank
Gateshead, UK
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Big Data Information Engineering Data Warehousing Database Queries Dimensional Modeling Python (Programming Language) Power BI Tableau (Software) Apache Spark Data Pipelines

Job 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

Requirements

  • 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

Benefits & conditions

  • Opportunity to shape a growing BI function from the ground up
  • Exposure to modern data technologies and cloud platforms
  • Strong focus on professional development and certifications
  • Flexible hybrid working
  • Comprehensive benefits package

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