At a Glance
- Tasks: Design and build end-to-end data pipelines using Databricks.
- Company: Fast-growing analytics business in the entertainment sector.
- Benefits: Competitive salary up to £80,000 and hybrid work model.
- Other info: High impact role with opportunities for mentorship and career growth.
- Why this job: Take ownership of a modern data platform and influence engineering standards.
- Qualifications: Strong experience with Databricks, Python, SQL, and data engineering solutions.
The predicted salary is between 60000 - 80000 £ per year.
We're partnering with a fast-growing analytics and data business operating across the entertainment sector. As demand for real-time insight and advanced analytics continues to scale, the company is investing heavily in a modern, cloud-native data platform, with Databricks at its core.
This role is ideal for a Senior Data Engineer who wants true end-to-end ownership: designing, building, deploying and operating production-grade data systems, while shaping engineering standards and CI/CD practices across the platform.
The Role
You’ll play a key role in building and evolving a high-performance Databricks lakehouse platform, taking ownership from ingestion through to production deployment.
Key responsibilities include:
- Design, build and operate end-to-end data pipelines using Databricks
- Own and evolve Databricks architecture across batch, streaming and event-driven workloads
- Implement and mature CI/CD pipelines for data engineering (testing, deployment, versioning)
- Develop reusable, production-ready data frameworks and patterns
- Drive engineering best practice across performance, security, reliability and cost optimisation
- Lead technical design decisions and influence long-term data platform strategy
- Mentor other engineers and raise overall data engineering standards
This is a hands-on role with genuine architectural influence, not a people-management-only position.
Key Experience & Capabilities
We’re specifically looking for strength in modern data engineering, not just analytics or reporting.
Core requirements:
- Strong experience delivering end-to-end data engineering solutions in production
- Deep hands-on expertise with Databricks (jobs, notebooks, workflows, Delta Lake)
- Experience designing and operating CI/CD pipelines for data platforms
- Strong Python & SQL skills for scalable data processing
- Solid understanding of lakehouse architecture and the Medallion (Bronze/Silver/Gold) pattern
- Strong data modelling experience (star/snowflake schemas, SCD Types 1-3)
- Experience with streaming and event-driven architectures
- Performance tuning and cost optimisation in cloud data platforms
- Experience with data quality, observability and data contracts
Nice to have (but not essential):
- dbt, Snowflake or similar analytics engineering tooling
- Experience supporting ML or advanced analytics workloads
- Exposure to data mesh or domain-oriented data platforms
What’s on Offer
- Up to £80,000 salary
- Join a scaling, well-funded business with serious technical ambition
- Work on a modern Databricks-centric data platform
- High impact role with ownership of architecture, CI/CD and engineering standards
- Clear opportunity to influence how data engineering is done across the organisation
Interested
If you’re a Senior Data Engineer who wants real ownership of Databricks, end-to-end pipelines and shape a modern data platform from the ground up. Apply Now!
Senior Data Engineer - Databricks in London employer: Tenth Revolution Group
Join a dynamic and rapidly expanding analytics firm in London, where you'll have the opportunity to take true ownership of innovative data engineering projects on a cutting-edge Databricks platform. With a strong emphasis on employee growth, mentorship, and a collaborative work culture, this company not only invests in your professional development but also offers a competitive salary and the chance to make a significant impact in the entertainment sector. Experience a hybrid work environment that fosters creativity and technical excellence, making it an ideal place for passionate data engineers looking to advance their careers.
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We think you need these skills to ace Senior Data Engineer - Databricks in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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