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- Tasks: Build and optimise data pipelines using Databricks for analytics and business intelligence.
- Company: Join a leading tech firm focused on modern data solutions in a collaborative environment.
- Benefits: Flexible day rate, hybrid work model, and opportunities for professional growth.
- Other info: Contract role for UK residents with excellent career advancement potential.
- Why this job: Be at the forefront of data innovation and make a real impact on business intelligence.
- Qualifications: Experience with Azure Databricks, PySpark, and data pipeline development is essential.
Location: London (Hybrid - 2 days per week onsite)
Contract Length: Initial 6 months
Day Rate: Flexible (Inside & Outside IR35 considered - final determination pending)
We're partnering with a client seeking a skilled Databricks Data Engineer to support the build and evolution of a modern data platform. This is a hands-on contract role, ideally suited to someone who thrives working across both new platform development and ongoing production support within a Databricks-driven environment.
This role sits at the heart of a Databricks Lakehouse implementation, where you'll be responsible for building, optimising, and maintaining scalable data pipelines and datasets to support analytics and business intelligence.
Key Responsibilities:
- Design, build, and optimise data pipelines within Azure Databricks using PySpark and Spark SQL
- Develop and manage Delta Lake-based data models, supporting a structured Lakehouse / Medallion architecture (Bronze, Silver, Gold layers)
- Support the ingestion and transformation of large-scale data from multiple sources into Databricks
- Contribute to the modernisation and migration of legacy SQL Server workloads into Databricks
- Monitor, troubleshoot, and improve the performance of existing data pipelines and jobs
- Work closely with stakeholders to ensure data is reliable, well-structured, and ready for analytics and reporting
- Integrate and orchestrate workflows using tools such as Azure Data Factory or Databricks Workflows
- Collaborate with BI teams to ensure datasets are optimised for Power BI and downstream consumption
Required Skills:
- Strong commercial experience working with Azure Databricks as a core data processing platform
- PySpark / Apache Spark for distributed data processing
- Delta Lake (ACID transactions, optimisation, data versioning)
- Spark SQL and advanced SQL techniques
- Python for data engineering and pipeline development
- Experience migrating data platforms from on-premises systems into cloud-based Databricks environments
- Solid understanding of data modelling, ETL/ELT design, and performance optimisation
- Familiarity with orchestration tools such as Azure Data Factory, Airflow, or Databricks Jobs
- Experience working in production environments with both project delivery and BAU responsibilities
- Exposure to Unity Catalog, data governance, and fine-grained access control in Databricks
- Experience implementing CI/CD pipelines for Databricks (e.g. via Azure DevOps or Git integration)
- Knowledge of streaming data pipelines (Spark Structured Streaming / Kafka)
- Experience working with cloud-native data architectures in Azure
- Prior exposure to Power BI or similar BI/reporting tools
Please Note: This is a contract role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Contract Databricks Data Engineer in London employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Databricks Data Engineer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data engineering. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of projects that highlight your experience with Databricks, PySpark, and data pipelines. This will give potential employers a clear picture of what you bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your SQL and data modelling skills. Be ready to discuss your past projects and how you've tackled challenges in data engineering. Confidence is key, so practice makes perfect!
✨Apply Through Us
We’ve got your back! Apply for roles directly through our website to ensure your application gets the attention it deserves. Plus, we’re always here to help you navigate the job search process.
We think you need these skills to ace Contract Databricks Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Databricks Data Engineer role. Highlight your experience with Azure Databricks, PySpark, and any relevant data pipeline projects. 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 this contract role. Let us know what excites you about working with Databricks.
Showcase Your Projects: If you've worked on any cool projects involving data pipelines or cloud-based architectures, make sure to mention them! We love seeing real-world examples of your work, especially if they relate to the technologies mentioned in the job description.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we do!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Understand how to build and optimise data pipelines using PySpark and Spark SQL, as well as the intricacies of Delta Lake. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around performance optimisation and troubleshooting data pipelines. Use examples that highlight your ability to work under pressure and deliver high-quality solutions, as this is crucial for the role.
✨Familiarise Yourself with the Business Side
Since you'll be working closely with both technical and business stakeholders, it's important to understand their needs. Research the company’s business model and think about how your data engineering skills can support their analytics and reporting goals. This will help you demonstrate your value during the interview.
✨Prepare Questions About Their Data Strategy
Interviews are a two-way street, so come prepared with insightful questions about their current data platform and future plans. Ask about their approach to migrating legacy systems to Databricks or how they ensure data governance. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.