Data Engineer - Microsoft Fabric | London | £50,000 - £70,000 + Benefits
Are you passionate about crafting modern data solutions and excited by the potential of Microsoft Fabric?
Method Resourcing have partnered with a Luxury Retailer who have a huge focus on technological innovation and are embedding Fabric into the heart of their data strategy. They're looking for a Data Engineer to join them on the next steps of their journey.
This is a key role in the team, where you'll be designing and maintaining scalable, secure data pipelines to power business-critical decisions across ecommerce and supply chain operations.
What You'll Be Doing:-
Designing, building, and optimising data pipelines across multiple sources using Microsoft Fabric and other Azure technologies
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Creating reliable ETL/ELT processes to transform and surface data for reporting and analytics
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Supporting the implementation of data lakehouse architectures, integrating with tools like Synapse and Spark
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Ensuring data quality and integrity through validation and cleansing techniques
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Working closely with analysts, data scientists, and business teams to deliver trusted data assets
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Monitoring data systems to ensure availability, reliability, and governance compliance
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Strong proficiency in SQL, and ideally Python or Scala
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Hands-on experience with Microsoft Fabric and familiarity with tools like Synapse, Spark, and Kafka
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Good knowledge of data integration/ETL platforms such as Talend, Informatica, or NiFi
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An analytical mindset with the ability to interpret large, complex datasets
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Previous experience in a collaborative, data-driven team
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Experience working with D365 F&O
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Background in ecommerce or supply chain environments
This role is paying up to £70,000 and is a hybrid role based in London.
Unfortunately, we are not able to offer sponsorship so candidates must have the right to work in the UK.
If this sounds like a good fit, please apply below or reach out to Fiona Ryalls at Method Resourcing.
RSG Plc is acting as an Employment Agency in relation to this vacancy.