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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