Data Engineer

Data Engineer. Permanent. T6/MN/1292110. Is this your next job Read the full description below to find out, and do not hesitate to make an application.

Hybrid - 2 Days Onsite Weekly - Cambridgeshire.

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.

Role:

  • 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.
  • Drive Continuous Improvement.

Technical Skills Required:

  • Azure Data Factory.
  • AWS Data Services (Redshift, S3, Lambda) - Desirable.
  • SSRS - hands-on experience.
  • ETL - Design, Data Quality Frameworks & Pipeline Management.
  • SQL - Star Schema - Data Modelling.
  • Data Warehouse Design, Development & Testing.
  • Data Warehousing Methodologies.
  • User Support - Power BI - desirable experience.
  • 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.

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. Cambridge, Permanent, T6/MN/1292110.

Company
Mackenzie Jones
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
Posted
Company
Mackenzie Jones
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
Posted