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Data Engineer

Mackenzie Jones
Cambridgeshire, England
7 months ago
Applications closed

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Posted
20 Oct 2025 (7 months ago)
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Director of IT Division – Data Engineer

Must be eligible to work in the UK.


International manufacturing organisation is seeking to secure a Data Engineer. Member of a small Data Engineering Team which is part of a much larger IT function.


Responsibilities

  • Data Movement & Transformation processes between Application/Services/Solutions.
  • Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization
  • ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency.
  • Monitor daily Data Loads & ETL workflows.
  • AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions.
  • Deliver UK Data Roadmap - aligned to Data Infrastructure & Business Strategy.
  • Gather & Define Requirements - identify new opportunities for the business/internal teams.
  • Troubleshoot & resolve pipeline failures, reporting errors & performance bottlenecks.
  • Validate & Reconcile Data - ensuring accuracy.
  • SSRS, Power BI & other BI tools - User Support.
  • Provide Governance, Security & Compliance - aligned to Data best practices.
  • Liaison with IT Business Systems & Business Teams & Third Parties.

Technical Skills

  • ETL - Design, Data Quality Frameworks & Pipeline Management.
  • Data Warehouse Design, Development & Testing.
  • Data Warehousing Methodologies.
  • Undertake & Support IT Governance processes (License review etc).
  • Customer Focused & Proactive approach.
  • Excellent communication skills - explain technical concepts to non-technical audiences
  • Collaborative approach to teamwork.

Contractual Hours

Monday to Friday – 40 Hours Per Week.


Benefits Package

31 Days Annual Leave – Including Bank Holidays / Contributory Pension / Income Protection / Life Assurance / Store Discount / Well Being Programme / Cycle to Work Scheme / Electric Car Salary Sacrifice Scheme.


Location

Cambridge, England, United Kingdom.


Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer.


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