Data Engineer. Permanent. T6/MN/1292110. 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.