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Data Engineer

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Jefferson Frank
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 110000 GBP Yearly GBP 110000.00 YEAR
Job Description & How to Apply Below

Data Engineer - Up to £110,000

We're partnering with a rapidly growing, high-performance technology and data consultancy. This organisation specialises in building cutting-edge data platforms and delivering advanced analytics solutions to solve complex, real-world business problems. With a strong emphasis on collaboration, innovation and ownership, they offer a fast-paced environment where talented engineers can make a meaningful impact from day one.

The Role

We're seeking an experienced Data Engineer to join a high-performing Data Analytics team. You'll play a key role in designing and maintaining data pipelines and ensuring the reliability and integrity of a central data platform that supports critical business and investment processes.

Key Responsibilities
  • Design, build, and optimise data pipelines to ingest and process data from a variety of internal and external sources
  • Develop and enhance scalable data platforms, ensuring they meet evolving business and technical requirements
  • Monitor, maintain and improve data systems to ensure high levels of performance, reliability and data quality
  • Implement robust testing and validation processes to support accurate and consistent data delivery
  • Work closely with cross-functional teams to understand data needs and deliver solutions that support business objectives
What We're Looking For
  • Strong experience designing and building scalable data pipelines
  • Proficiency in SQL, Python, Databricks or AWS
  • Experience with tools such as Git and Airflow
  • Proven ability to test, troubleshoot and improve data platforms
  • Experience delivering high-quality, reliable data solutions

    Strong communication skills and ability to work in collaborative environments
Why Apply?
  • Work on impactful, real-world data challenges
  • Collaborate with highly skilled technical professionals

    Exposure to projects aligned with global markets and economic trends

    Strong learning environment with opportunities to expand your technical skillset
  • High-autonomy culture
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