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- Tasks: Lead data engineering projects using Azure Databricks and GenAI technologies.
- Company: Join a forward-thinking tech company focused on innovation and cloud solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a collaborative environment.
- Why this job: Be at the forefront of data engineering and AI, making a real impact.
- Qualifications: Experience in Azure Databricks and strong data engineering skills required.
The predicted salary is between 60000 - 80000 £ per year.
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)
- Prepare data for RAG and AI workloads
- Work with Azure OpenAI + Azure AI Search
- Implement embedding, chunking, and retrieval strategies
Senior Azure Data Engineer (Databricks + GenAI) in London employer: TECHNOLOGY AND RISK RECRUITMENT
Contact Detail:
TECHNOLOGY AND RISK RECRUITMENT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Azure Data Engineer (Databricks + GenAI) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Azure Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure Databricks and GenAI. We want to see your work in action, so don’t be shy about sharing your successes and the cool stuff you’ve built.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around data engineering and cloud architecture. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Azure Data Engineer (Databricks + GenAI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and GenAI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
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 you can contribute to our team. We love hearing personal stories that connect your experience to our mission.
Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention your experience with building data pipelines, working with PySpark, and any other relevant tools. We’re looking for someone who can hit the ground running!
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 a few clicks and you’re done!
How to prepare for a job interview at TECHNOLOGY AND RISK RECRUITMENT
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure Databricks, PySpark, and Delta Lake. Brush up on the medallion model and be ready to discuss how you've implemented these technologies in past projects. The more specific examples you can provide, the better!
✨Showcase Your Architecture Skills
Prepare to talk about your experience with designing scalable data architectures. Think of a few key projects where you defined or reviewed engineering designs. Be ready to explain your thought process and the impact of your decisions.
✨Demonstrate Your GenAI Knowledge
Since this role involves GenAI enablement, make sure you understand how to prepare data for AI workloads. Familiarise yourself with Azure OpenAI and AI Search, and be prepared to discuss strategies like embedding and chunking. This will show you’re not just a data engineer but also a forward-thinking techie!
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company’s data strategy, their use of Azure Databricks, or how they envision the future of GenAI in their projects. This shows your genuine interest and helps you gauge if the company is the right fit for you.