Data Engineer - Cloud
Role details
Job location
Tech stack
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
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Act as a global administrator within Azure, supporting identity, governance and platform configuration
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Apply, maintain and improve Azure policies, including cost monitoring, optimisation and resource governance
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Support automation, monitoring and operational upkeep of cloud services
Data Platform Engineering
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Work with Snowflake as part of the core enterprise data platform
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Contribute to data pipeline creation, integrations and ongoing platform health
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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
Requirements
- 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