At a Glance
- Tasks: Build and optimise cloud data platforms using Azure and Databricks.
- Company: Join a growing Data & Analytics practice in the UK public sector.
- Benefits: Permanent hybrid role with flexible working and career growth opportunities.
- Other info: Work in a fast-paced setting with a focus on innovation and teamwork.
- Why this job: Make an impact by delivering high-performance data solutions in a collaborative environment.
- Qualifications: Strong experience with Azure Databricks, SQL, and data warehousing required.
The predicted salary is between 50000 - 65000 £ per year.
We are seeking a hands-on Data Engineer to join a growing Data & Analytics practice. This role focuses on building, optimising, and maintaining modern cloud data platforms. You will work across the full data lifecycle, delivering scalable, high-performance solutions using Azure and Databricks.
Who We’re Looking For
A strong Data Engineer with deep technical expertise in Azure and Databricks, who enjoys building robust pipelines and working in a collaborative, client-facing environment.
Key Responsibilities
- Build and maintain scalable data pipelines (batch & real-time)
- Develop solutions using Azure Databricks and PySpark
- Implement Medallion Architecture (Bronze, Silver, Gold)
- Develop data warehouse and lakehouse solutions
- Support BI, analytics, and AI workloads
- Optimise performance, cost, and reliability
- Collaborate with architects, analysts, and stakeholders
Mandatory Requirements
- Strong hands-on experience with Azure Databricks (PySpark)
- Experience with Azure Data Factory and Synapse
- Strong SQL and data warehousing expertise
- Experience with data modelling (star, snowflake, Kimball)
- Experience with Power BI and Microsoft Fabric
- Experience with CI/CD and DevOps practices
- Ability to produce technical documentation (HLD, LLD)
- Experience in consulting / professional services
- Exposure to AI and advanced analytics solutions
- Experience with real-time / streaming data
- Experience in regulated industries
Soft Skills
- Strong problem-solving skills
- Collaborative and team-oriented mindset
- Clear communication and documentation skills
- Ability to work in fast-paced delivery environments
Role Type: Permanent & Hybrid (2 days per week in office)
Location: Guildford
Clearance: Candidates must be eligible for UK Security Clearance (SC) or active SC
Senior Data Engineer in Guildford employer: Ceox Services Ltd
Join a forward-thinking organisation that values innovation and collaboration, where as a Senior Data Engineer, you will play a pivotal role in shaping the future of data solutions within the UK Public Sector. Our hybrid work culture promotes flexibility and work-life balance, while our commitment to employee development ensures you have access to continuous learning opportunities and career progression. With a focus on cutting-edge technologies like Azure and Databricks, you'll be part of a dynamic team that thrives on solving complex challenges and delivering impactful results.
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We think this is how you could land Senior Data Engineer in Guildford
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We think you need these skills to ace Senior Data Engineer in Guildford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
