At a Glance
- Tasks: Lead data engineering projects using Azure Databricks and GenAI technologies.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on client engagement.
- Why this job: Make an impact by building cutting-edge data platforms that drive analytics and AI.
- Qualifications: 8+ years in data engineering with strong Azure and Databricks expertise.
The predicted salary is between 70000 - 90000 € per year.
Location: UK Remote
Engagement: Permanent
Overview: We are seeking a Senior Azure Data Engineer to take ownership of the data engineering capability across multiple enterprise-scale Azure Databricks programmes. This role sits at the intersection of data engineering, cloud architecture, and GenAI enablement, building production-grade lakehouse platforms that power analytics, automation, and AI-driven applications. You will act as a technical lead and client-facing engineer, responsible for designing, delivering, and governing scalable Azure + Databricks data platforms.
Key Responsibilities:
- Architecture Leadership
- Define Azure Databricks lakehouse architectures (medallion model)
- Review and approve engineering designs across projects
- Data Engineering Delivery
- Build end-to-end pipelines using:
- Azure Databricks (PySpark, Delta Lake, Workflows)
- Azure Data Factory / Synapse Pipelines
- ADLS Gen2
- Deliver curated data products (bronze / silver / gold)
- GenAI Enablement
- Prepare data for RAG and AI workloads
- Work with Azure OpenAI + Azure AI Search
- Implement embedding, chunking, and retrieval strategies
- CI/CD & Infrastructure
- Implement IaC using Terraform or Bicep
- Manage CI/CD pipelines using Azure DevOps or GitHub Actions
- Use Databricks Asset Bundles for deployment automation
- Governance & Security
- Implement Unity Catalog, Purview, RBAC, and data lineage
- Ensure secure-by-design architecture (Key Vault, Entra ID)
- Client Engagement
- Lead workshops, design sessions, and technical discussions
- Translate business requirements into structured engineering delivery
- Mentorship
- Guide and support mid-level engineers
- Enforce engineering standards and best practices
Required Experience:
- 8+ years in data engineering
- 4+ years hands-on Azure data platform experience
- Expert-level Azure Databricks (PySpark, Delta Lake, Jobs, tuning)
- Strong Azure Data Factory / ADLS Gen2 / Azure SQL experience
- Solid Python and SQL engineering background
- Experience with lakehouse / medallion architecture
- CI/CD & IaC (Terraform or Bicep + Azure DevOps/GitHub Actions)
- Understanding of Azure AI Search / Azure OpenAI / RAG concepts
- Experience with Unity Catalog / Purview / data governance frameworks
Soft Skills:
- Strong client-facing communication skills
- Confident leading technical design discussions
- Ability to manage ambiguity and define structure
- Mentoring and leadership capability
Nice to Have:
- Power BI / Fabric experience
- Salesforce data integration experience
- Microsoft certifications (DP-203, DP-700, AZ-305, etc.)
- Experience in real-time or operational data environments
- Exposure to Data/AI Centre of Excellence environments
Senior Azure Data Engineer (Databricks + GenAI) in England employer: Technology & Risk Recruitment
As a Senior Azure Data Engineer at our company, you will thrive in a dynamic and innovative remote work environment that champions collaboration and professional growth. We offer competitive benefits, a strong focus on employee development, and the opportunity to lead cutting-edge projects in data engineering and GenAI, all while enjoying the flexibility of working from anywhere in the UK. Join us to be part of a forward-thinking team that values your expertise and fosters a culture of excellence and mentorship.
Contact Detail:
Technology & Risk Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer (Databricks + GenAI) in England
✨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. Attend meetups or webinars to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Databricks and GenAI. This will give you an edge when chatting with potential employers and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Azure and data engineering. Practice explaining your past projects and how they relate to the role you're applying for – confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Azure Data Engineer (Databricks + GenAI) in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Azure Data Engineer role. Highlight your experience with Azure Databricks, data engineering, and any relevant projects you've led. We want to see how your skills align with what we're looking for!
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. Don’t forget to mention your experience with GenAI and cloud architecture.
Showcase Your Projects:If you've worked on any impressive projects, especially those involving Azure Databricks or AI-driven applications, make sure to include them. We love seeing real-world examples of your work and how you've tackled challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Technology & Risk Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks, PySpark, and Delta Lake. Brush up on your knowledge of the medallion architecture and be ready to discuss how you've implemented these technologies in past projects.
✨Showcase Your Client Engagement Skills
Since this role involves client-facing responsibilities, prepare examples of how you've successfully led workshops or technical discussions. Highlight your ability to translate complex technical concepts into understandable terms for clients.
✨Demonstrate Your Leadership and Mentorship Experience
Be ready to talk about your experience guiding mid-level engineers and enforcing engineering standards. Share specific instances where your mentorship made a difference in a project or team dynamic.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data engineering and how you approached them, especially regarding CI/CD pipelines and data governance.
