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# Data Engineer

- **Company:** Career Legal
- **Location:** Epsom, UK (Remote available)
- **Experience:** Expert
- **Salary:** £70,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Data Architecture, Information Engineering, Data Infrastructure, Data Security, Data Systems, Python (Programming Language), Cloud Platform System, Apache Spark, Restful APIs, Data Pipelines, Api Management, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/data-engineer/52100969

## About the Role

Essential Skills & ExperienceStrong hands-on experience with Databricks.

Proven experience designing, implementing and optimising data pipelines.

Strong knowledge of Apache Spark and Python.

Understanding of Lakehouse architecture and modern data engineering principles.

At least five years experience across ELT, data engineering and data modelling.

Experience working with Microsoft Azure and cloud-based data platforms.

Knowledge of API integrations, REST services and authorisation.

Experience implementing data quality processes, alongside an understanding of data security and compliance.

## Description

Mid / Senior Data Engineer Databricks, Python & AzureLocation: Leatherhead / Waterloo (Hybrid)
Salary: Circa £70,000 + Benefits
Working Pattern: Hybrid, with flexible working arrangements
The organisation delivers innovative software, enterprise platforms and data-driven solutions, helping businesses leverage technology to improve performance, enhance decision-making and drive innovation.
This is an opportunity to work closely with senior technology leadership, contribute to the evolution of data architecture and help shape the organisations data engineering capabilities.
Key ResponsibilitiesDesign, build and optimise scalable data pipelines using Databricks, Apache Spark and Python.

Develop and maintain robust ELT processes to ingest, transform and integrate data from multiple sources.

Contribute to the design and evolution of Lakehouse architecture and modern data platforms.

Develop and maintain data models that support analytics, reporting and downstream applications.

Build data quality, validation and monitoring processes to ensure accuracy, consistency and reliability.

Develop integrations using Azure services, APIs, REST and appropriate authorisation mechanisms.

Ensure data solutions adhere to security, governance and compliance requirements.

Collaborate with engineering, technology and wider business stakeholders to deliver reliable, high-performing data solutions.

Support continuous improvement across data engineering practices, architecture and platform performance.