Senior Data Engineer (Databricks)

Senior Data Engineer (Databricks) - London (Hybrid) - Up to £85,000

Databricks - Apache Spark - Delta Lake - Python - SQL - Azure

We're partnering with a fast-growing technology business that's investing heavily in its data platform and engineering capability. This is an opportunity to join a highly collaborative team where you'll play a key role in shaping a modern Databricks environment, influencing technical decisions, and delivering scalable data solutions that directly impact the business.

Working within a cloud-first environment, you'll collaborate closely with Data Scientists, Analysts, Product teams, and senior stakeholders to build robust, high-performing data products whilst helping drive engineering best practice across the organisation.

The Role

As a Senior Data Engineer, you'll be responsible for:

Building and maintaining scalable data pipelines within Databricks.

Developing and optimising batch and streaming data workflows.

Designing and implementing Lakehouse architectures and medallion data models.

Implementing data quality, monitoring, and observability frameworks.

Maintaining security, governance, and access control standards.

Collaborating with Data Scientists and Analysts to deliver business-critical data products.

Driving engineering best practice through code reviews and technical standards.

Identifying platform optimisation and cloud cost reduction opportunities.

Translating business requirements into scalable technical solutions.

Contributing to tooling decisions, documentation, and continuous improvement initiatives.

What's On Offer?

Salary up to £85,000.

Hybrid working model.

Modern Databricks and Azure technology stack.

Exposure to large-scale, enterprise-level data platforms.

Opportunity to influence architecture and engineering standards.

Collaborative and supportive engineering culture.

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