Senior Data Engineer

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

We're working with a fast-growing tech company that's putting serious investment into its data platform right now and they need a Senior Data Engineer to help lead the charge. You'll be joining a genuinely collaborative team, with real scope to shape how their Databricks environment evolves and influence the technical decisions that go with it.

It's a cloud-first setup, and you'll be working closely with Data Scientists, Analysts, Product teams and senior stakeholders to build data products that actually matter to the business and not just tick a box. You'll also have a hand in raising the bar on engineering practice more broadly across the team.

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.

Key Skills & Experience

• Proven experience as a Data Engineer within production environments.
• Strong hands-on experience with Databricks, Apache Spark, Delta Lake, Python and SQL.
• Experience building and supporting scalable ETL/ELT pipelines.
• Strong understanding of distributed data processing and data modelling.
• Cloud platform experience across Azure, AWS or GCP.
• Experience implementing data quality frameworks and pipeline monitoring.
• Excellent communication and stakeholder engagement skills.

Why Apply?

• 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.
• Ongoing learning and professional development opportunities.
• Strong career progression within a growing technology business.

This is a brilliant opportunity to shape a modern Databricks platform while influencing the architectural decisions and working alongside cross-functional data teams. All in a highly collaborative and engineering-led environment.

Interested? Get in touch with Joshua Marchant ->

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