Data Engineer

Sanderson
London, United Kingdom
2 months ago
£80,000 – £90,000 pa
Applications closed

Related Jobs

View all jobs

Data Engineer

DCV Technologies Sheffield, South Yorkshire, United Kingdom
£400 – £495 pd

Data Engineer

Hays Technology Sheffield, South Yorkshire, United Kingdom
£500 – £550 pd

Data Engineer

Siamo Recruitment a division of Siamo Group Cirencester, Gloucestershire, United Kingdom
£34,500 – £36,500 pa

Data Engineer

83zero London, City And County Of the City Of London, United Kingdom
£65,000 – £75,000 pa Hybrid

Data Engineer

SoCode London, United Kingdom
£60,000 – £80,000 pa

Data Engineer

Amtis Professional Chelmsley Wood, West Midlands (county), United Kingdom
£40,000 – £45,000 pa

Salary

£80,000 – £90,000 pa

Posted
19 Aug 2026 (2 months ago)

Role: Data Engineer
Salary: up to £90k
Location: City of London
Flexible working:Hybrid

My client is looking for a Data Engineer with strong Microsoft Fabric expertise to own and develop the data platform, pipelines and reporting that support the business. You'll work closely with Engineering, Product and commercial teams to turn business requirements into scalable, secure and trusted data solutions.

Key skills/Responsibilities

  • Microsoft Fabric: Own and optimise the Fabric environment across OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark notebooks, semantic models and DirectLake.
  • Data Engineering & Analytics: Build and orchestrate robust data pipelines from MongoDB, APIs and third-party sources, using SQL, Spark and modern data modelling to create performant, analytics-ready data-sets and Power BI reporting.
  • Data Quality & Governance: Take ownership of data integrity, profiling and reconciliation, implementing quality checks and governance frameworks to identify issues early and maintain a well-structured, compliant and cost-efficient Fabric environment.
  • Business Partnership: Work with Engineering, Product and commercial stakeholders to understand data requirements, translate business questions into actionable specifications and deliver clear, trustworthy analysis and visual insight.
  • Modern Data Practices: Apply Git, CI/CD and Fabric deployment pipelines, alongside strong security, RLS, GDPR/PII and metadata practices, while evaluating emerging technologies to continually improve the wider data capability.

Key skills:Microsoft Fabric, OneLake, Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Spark, SQL, Power BI, DAX, DirectLake, MongoDB, REST/GraphQL APIs, Git/CI/CD, data modelling, data governance, data quality and GDPR/PII.

If this role sounds of interest email me on

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.