Data Engineer
Sanderson · London · posted 23 days ago
Going rate £54,700UK median £56,914London £75,296
Home Office going rates from
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£80,000 to £90,000stated
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
Sponsorship
Sponsorship chance
Low
- Not matched to a licence on the register
- Occupation is eligible for Skilled Worker
- Salary clears the going rate
On the public records we hold, sponsorship for this role looks unlikely: not matched to a licence on the register, and occupation is eligible for Skilled Worker.
We hold the employer, the occupation, a stated salary and the advert's own wording.
Why
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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.
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