We are looking for a solid Data Engineer who knows how to get data from source to production-ready. Someone who builds reliable pipelines, designs scalable data platforms on Azure, and takes ownership of data quality. The role sits within a consultancy environment, meaning varied projects across different industries and close collaboration with data scientists and clients.
On top of that, we are looking for someone who is open to the future of coding. We love efficiency and we actively encourage the use of AI tools like Claude Code or GitHub Copilot to automate repetitive parts of development, giving you more time to build robust, high-quality pipelines.
What you'll be doing :
- Building and maintaining scalable data pipelines on Azure
- Ensuring data quality and reliability across the stack
- Working closely with data scientists, analysts, and clients
- Applying AI tooling where it genuinely speeds up data workflows
What you bring :
- Strong hands-on experience with Python and SQL
- Solid understanding of ETL/ELT and data modelling
- Experience with Azure (Data Factory, Synapse, Databricks or similar)
- A genuine interest in AI as a practical tool to optimize data processes
- Comfortable working directly with clients and cross-functional teams
What you get :
- Competitive salary, company car, bonus scheme, smartphone and laptop
- 25 vacation days with the option to accrue more
- Pension contribution and the option to purchase company shares at a discount
- Dedicated learning budget and access to an internal academy and external training
- Clear growth path towards Senior, Lead Engineer or Architect
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- Posted
- May 19, 2026
- Type
- Full-time
- Level
- Associate
- Location
- The Randstad
- Company
- Michael Bailey Associates
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
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