Mackenzie Jones

Data Engineer

Job Location

London,, United Kingdom

Job Description

Data Engineer. Permanent. T6/MN/1292110-3. Remote - London *Cannot Provide Sponsorship - Must be Eligible to work in the UK Long Term* 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 - 4 years’ experience 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. Permanent, T6/MN/1292110-3.

Location: London,, GB

Posted Date: 11/9/2025
View More Mackenzie Jones Jobs

Contact Information

Contact Human Resources
Mackenzie Jones

Posted

November 9, 2025
UID: 5482872532

AboutJobs.com does not guarantee the validity or accuracy of the job information posted in this database. It is the job seeker's responsibility to independently review all posting companies, contracts and job offers.