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.

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• 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.
  

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• 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.
  

Monday to Friday – 40 Hours Per Week.

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.

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.