Data Engineer

Data Engineer. Permanent. T6/MN/(phone number removed).
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/(phone number removed)