Data Engineer - Azure / GCP, Data Lake, Snowflake

Hays Technology
London
8 months ago
Applications closed

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Posted
8 Oct 2025 (8 months ago)

Data Engineer - Azure / GCP, Data Lake, Snowflake

Up to £700 per day (Inside IR35)

London / Hybrid (1-2 days per week hybrid working)

6 months

I am currently working with an instantly recognisable, high profile client who urgently require a Data Engineer with expertise in Azure / GCP and Data Lakes to join a major transformation programme, whilst expanding Data sources and identifying more Data sources to help produce more metrics to drive Data capability across the entire organisation, helping bridge the gap between Data Engineering and Security.

Key Requirements:

Proven experience as a Data Engineer in a large, complex, regulated organisation
Expertise with Cloud Platforms (Azure and GCP preferred)
Previous experience of working with Data Lakes
Demonstrable experience of ingesting, extracting and analysing Data from diverse sources
Ability to create a centralised and standardised view from using Data from across multiple Business / Market Units across the entire organisation
Understanding of future hosting model(s)
Capability to give Market Units some guidance whilst understanding Data capability, working with vendors / 3rd parties and working out what more can be done
Strong communication skills and ability to work autonomously and drive innovation
Nice to have:

Familiarity with Data Architecture
Exposure to Cyber Security tooling or working closely with InfoSec / Risk teams
Understanding of Data Management frameworks (DCAM, DMBOK)
Working knowledge of GraphQL / Data Bricks / Snowflake / Oracle Data Lake / Synapse in Azure / Big Query in GCP
Previous experience of working with Medical / Healthcare Data
Immediate availability

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Where to advertise data engineering jobs UK in 2026: the specialist boards and channels that reach Spark, dbt, Snowflake and platform engineering talent. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.