Data Engineer

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.

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.

Working Flexibility & BenefitsThe organisation offers a flexible working environment alongside a competitive salary and benefits package. Salary: Circa £70,000, plus benefits.

Hybrid working: Four days per week across the office, with two days in Leatherhead and the remaining two days in either Leatherhead or Waterloo.

Flexible hours: Flexibility around working patterns, including the potential for condensed hours.

Additional leave: Two extra weeks of leave, on top of the standard 25 days annual holiday allowance, which can be used to work remotely from anywhere in the world.

August flexibility: The opportunity to work fully remotely throughout August.

Interested?If youre an experienced Data Engineer with strong Databricks, Python and Apache Spark skills and want to work on modern data platforms within a leading global technology organisation, wed love to hear from you. Apply today or get in touch for a confidential discussion to find out more. TPBN1_UKTJ