Tenth Revolution Group
Senior Data Engineer
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Senior Data Engineer
Senior Data Engineer - Databricks - London (Hybrid) - Up to £75,000
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 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
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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
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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
- 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.
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