Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and optimise cloud data platforms using Azure and Databricks.
- Company: Join a dynamic Data & Analytics practice in the UK public sector.
- Benefits: Permanent hybrid role with competitive salary and career growth.
- Other info: Collaborative environment with opportunities to work on innovative projects.
- Why this job: Make an impact by delivering high-performance data solutions.
- Qualifications: Strong experience with Azure, Databricks, and data engineering skills.
The predicted salary is between 60000 - 80000 £ 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)
- Design ETL/ELT pipelines using Azure Data Factory
- Develop data warehouse and lakehouse solutions
- Support BI, analytics, and AI workloads
- Optimise performance, cost, and reliability
- Implement CI/CD pipelines using Azure DevOps
- 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
- Strong programming skills (Python, SQL, scripting)
- Experience with CI/CD and DevOps practices
- Ability to produce technical documentation (HLD, LLD)
Desirable
- 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
Contract Details
- 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
Contact Detail:
Ceox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Guildford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and PySpark. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD pipelines and how you've collaborated with teams in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer in Guildford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and PySpark. We want to see how your skills align with the key responsibilities listed in the job description, so don’t hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: When filling out your application, be sure to mention specific tools and technologies you’ve worked with, especially those related to data pipelines and cloud platforms. We’re looking for hands-on experience, so let us know what you’ve built!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Ceox
✨Know Your Tech Inside Out
Make sure you brush up on your Azure and Databricks skills. Be ready to discuss specific projects where you've built data pipelines or implemented Medallion Architecture. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when discussing technical issues or project hurdles.
✨Collaborate Like a Pro
Since this role involves working closely with architects and stakeholders, be ready to demonstrate your collaborative mindset. Share experiences where teamwork led to successful outcomes, and highlight your communication skills.
✨Get Familiar with CI/CD Practices
As CI/CD is a key part of the role, make sure you understand the principles and can discuss your experience with Azure DevOps. Be prepared to explain how you've implemented these practices in past projects to optimise performance and reliability.