Data Engineer - Cloud

London, Greater London E14

Posted: 02/20/2026 Employment Type: Direct Hire/Perm Job Category: Technology Job Number: 624214 Is job remote?: No Country: United Kingdom

Job Description


A leading research?driven organisation is growing its cloud and data engineering capability and is hiring a Cloud & Data Platform Engineer to support the development, governance and optimisation of its modern Azure?based environment. This role is ideal for someone with early career experience in cloud/data engineering who is ready to take ownership of real platform responsibilities.

The Role
You will support the build and optimisation of a scalable data and ML platform, working across Azure, Snowflake and a range of modern engineering tools. The position blends technical platform work with governance responsibilities, ensuring Azure environments remain secure, compliant and cost?efficient.

This is not a senior architecture role — it is hands?on engineering and cloud administration, contributing directly to how the organisation uses its cloud services.

Key Responsibilities Cloud Engineering & Administration
  • Act as a global administrator within Azure, supporting identity, governance and platform configuration
  • Apply, maintain and improve Azure policies, including cost monitoring, optimisation and resource governance
  • Support automation, monitoring and operational upkeep of cloud services
Data Platform Engineering
  • Work with Snowflake as part of the core enterprise data platform
  • Contribute to data pipeline creation, integrations and ongoing platform health
  • Support ML/data workflows using tools such as Databricks, Azure ML, Synapse, MLflow, Airflow, or similar technologies
Collaboration & Platform Support
  • Work closely with data engineers, ML practitioners and analysts
  • Troubleshoot and resolve cloud platform issues
  • Help shape best practices for cloud operations and cost?effective design

What We're Looking For
  • Around 2–3 years’ experience in cloud engineering or data engineering
  • Strong experience working with Azure (AWS familiarity fine, but Azure must be primary)
  • Hands?on experience with Snowflake is a plus
  • Familiarity with modern data/ML platforms (Databricks, Azure ML, Synapse, MLflow, Airflow, etc.)
  • Experience applying Azure policies, managing cloud governance and monitoring cloud cost efficiency
  • Experience acting as an Azure global administrator, overseeing core platform configuration
  • Broad engineering mindset — someone who works on platforms, not analysing data
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