London (Hybrid – 3 days per week in office)
We’re working with a fast-growing technology organisation building a modern, scalable data platform from the ground up. This is an exciting opportunity for a Data Engineer who wants to be part of shaping architecture, drive best practice, and build secure, enterprise-grade data systems in a high-impact environment.
This role would suit someone who thrives in collaborative environments and is motivated by building robust, future-proof data solutions at scale.
The Role
As Data Engineer, you will help design, implement, and secure a modern data platform (Databricks + pipelines + governance), establishing repeatable processes to ensure data is accurate, accessible, compliant, and cost-effective. You’ll work closely with data scientists, analysts, and stakeholders to create scalable, secure, and high-performing data infrastructure.
Key Responsibilities
- Build end-to-end data pipelines, data lakes, and data warehouses on Azure Databricks
- Integrate with ETL/ELT tools and Azure cloud services
- Optimise performance, scalability, and cost-efficiency across large-scale and real-time workloads
- Automate monitoring, alerting, and recovery processes
- Embed DevOps practices for data including CI/CD and Infrastructure as Code
What We’re Looking For
- 3+ years’ experience in Data Engineering
- Strong Azure Databricks, Spark and Python expertise
- Experience with MySQL, PostgreSQL and MSSQL
- Experience in data-intensive, agile environments
- Strong troubleshooting, optimisation, and governance experience
- Ability to build basic reporting/PoC outputs where required
- Security-first mindset and strong understanding of compliance standards
You’ll likely thrive here if you:
- Enjoy progressive and evolving environments
- Have a proactive, risk‑aware approach to data security
- Stay curious about emerging technologies
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