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- Tasks: Design and optimise data pipelines on Azure Databricks and Snowflake.
- Company: Leading client in Financial Services with innovative projects.
- Benefits: Competitive day rate, remote work, and immediate engagement.
- Why this job: Join a groundbreaking project to build a secure Data Lake from scratch.
- Qualifications: Experience with Databricks, Snowflake, and Azure Cloud services required.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer – Azure / Databricks / Snowflake
📍 Remote (UK/EU based) | ⏳ 6–12 months | 💷 Competitive Day Rate
We are supporting a leading client in Financial Services who are at the early stages of building a new enterprise Data Lake on Azure Cloud. To deliver this programme, we’re looking for experienced Contract Data Engineers with proven expertise in Databricks and Snowflake, available for immediate engagement.
The role:
- Design, build, and optimise data pipelines and ETL processes on Azure Databricks
- Implement scalable, high-performance data models in Snowflake
- Work closely with architects and stakeholders to define data architecture, storage, and integration patterns
- Contribute to the build of a secure, production-ready Data Lake from the ground up
- Support best practices across data quality, governance, and CI/CD
You will bring:
- Strong commercial experience as a Data Engineer
- End-to-end project exposure, ideally from greenfield/early-stage Data Lake builds
- Deep hands-on knowledge of Databricks (Spark, Delta Lake, ML pipelines) and Snowflake (warehousing, optimisation, security)
- Solid understanding of Azure Cloud services (Data Factory, Synapse, Storage, DevOps)
- Strong SQL, Python, and ETL/ELT background
Contract details:
- Start: ASAP
- Duration: 6–12 months
- Location: Remote (must be UK/EU based)
- Day Rate: Competitive
If you’ve successfully delivered Databricks + Snowflake projects on Azure and want to play a key role in building a new data platform from the ground up, we’d love to hear from you.
Data Engineer (Azure, Databricks & Snowflake) employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Azure, Databricks & Snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Azure, Databricks, and Snowflake. 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 previous projects, especially those involving data pipelines and ETL processes. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with Databricks and Snowflake, and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers 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 Data Engineer (Azure, Databricks & Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Snowflake. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your work with data pipelines and ETL processes, and let us know what excites you about building a Data Lake.
Show Off Your Technical Skills: We’re looking for strong SQL, Python, and ETL/ELT backgrounds. Make sure to mention any relevant certifications or projects that demonstrate your expertise in these areas. The more we see your skills in action, the better!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Brio Digital
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure, Databricks, and Snowflake. Be ready to discuss specific projects where you've implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've designed and optimised data pipelines or ETL processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact on previous projects.
✨Understand the Business Context
Research the financial services sector and understand how data engineering plays a role in it. This will help you align your technical skills with the company's goals and demonstrate your interest in their specific challenges.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and future projects. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.
