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Microsoft Fabric Data EngineerExperis UKLondon, England, United Kingdom
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Microsoft Fabric Data Engineer

Experis UK
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom

À propos

We’re on the lookout for a
hands-on Data Engineer
to take ownership of a
Microsoft Fabric + OneLake
data platform and turn fragmented, unreliable source data into
trusted, governed, analytics-ready datasets . This is a delivery-critical role for someone who enjoys
stabilising messy data environments , getting to root cause fast, and building
resilient, production-grade pipelines
that can withstand frequent upstream change. What you’ll be doing:
Building and optimising transformations using
Advanced SQL
plus
M-Query / Power Query Designing scalable
semantic models
to enable governed self-service analytics Setting up
data quality controls
(validations, reconciliations, checks) across all layers Creating
monitoring / alerting / logging
to detect issues early and reduce manual fixes Troubleshooting failures caused by
schema drift / source changes
and driving resolution with upstream owners Supporting governance and access controls, including
Row-Level Security (RLS) , lineage, documentation, and certification What we need from you (non-negotiables):
4+ years
Data Engineering experience, including
1–2+ years hands-on Microsoft Fabric Real project experience with
Fabric + OneLake
(not just training or POCs) Strong experience building
production-grade pipelines
end to end Strong
SQL
plus
M-Query / Power Query
transformation skills Proven ability to implement
data quality checks
and/or monitoring frameworks Comfortable working in
messy data ecosystems
with changing/broken upstream sources A proactive operator:
independent, investigative, accountable , and able to drive problems through to closure PAYE Contract Remote – UK Based Initial 6-12 Months (With Potential Extension) Please apply for immediate consideration.
#J-18808-Ljbffr
  • London, England, United Kingdom

Compétences linguistiques

  • English
Avis aux utilisateurs

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