Data Engineer
  • England,Yorkshire and The Humber,West Yorkshire,Leeds
  • Full Time, Permanent
  • £50,000 per annum
Job Description:
Full job description

DATA ENGINEER
£50,000Leeds This is a unique opportunity to become the first dedicated Data Engineer within a growing data function. You’ll play a key role in shaping the company’s data engineering capabilities, building modern data solutions and influencing the future direction of the platform whilst working across a variety of analytics, data science and AI projects.THE COMPANYOur client is a global business operating across the marketing, technology and data space, partnering with a range of well-known consumer brands. With significant investment being made into modern data platforms, analytics and AI initiatives, they are continuing to expand their data capability. This is a growth role offering significant ownership, autonomy and the opportunity to help build a data engineering function from the ground up.



THE ROLE
* Design, build and maintain scalable data pipelines and ETL/ELT processes
* Integrate data from multiple internal and external sources, including APIs and third-party platforms
* Build and optimise data models to support analytics, reporting and customer insight initiatives
* Develop data solutions within modern cloud environments and data platforms
* Support the development and evolution of Microsoft Fabric capabilities across the business
* Collaborate closely with Data Science, Analytics and business stakeholdersYOUR SKILLS AND EXPERIENCE * 2+ years’ experience in Data Engineering or a closely related field
* Strong Python development skills
* Strong SQL skills
* Experience building and maintaining data pipelines
* Experience with Azure, AWS or GCP
* Strong communication and stakeholder management skillsSALARY AND BENEFITS * Up to £50,000 base salary
* Competitive benefits package
* Hybrid working (2 days per week in the office)
* Significant ownership and autonomy
* Exposure to Microsoft Fabric, cloud platforms and AI initiatives



Please register your interest by sending your CV to Harry Lack through the ’Apply’ link.
Job number 4238132
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