Tenth Revolution Group
Senior Data Engineer – Databricks – London (Hybrid) – Up to £80,000
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!
To apply for this job please visit www.reed.co.uk.
Make this application stronger
Use these quick checks before applying so your CV, interview preparation and job search are better matched to this vacancy.
Before you apply
Check the key details and make sure the role matches what you are looking for.
- Review the job title, company, location, salary and working pattern if provided.
- Check the skills, experience or qualifications requested by the employer.
- Make sure the commute, hours and contract type are realistic for you.
Tailor your CV
For IT Jobs, highlight the most relevant skills, experience and achievements linked to this type of work. Keep it honest, clear and focused on what the employer is asking for.
Use the CV Builder or browse Career Advice.
Prepare for interview
If your application is successful, prepare simple examples that show your motivation, strengths and suitability.
Keep searching smarter
Do not rely on one application. Keep searching similar roles and set up alerts so new vacancies reach you faster.
