Data Engineer (GCP / DataBricks) - Remote - Outside IR35

We are seeking an experienced Senior Data Engineer to join a fast-paced data and AI transformation programme. You will play a key role in designing, building and optimising scalable cloud-based data platforms, working with large datasets and modern data engineering technologies.

The ideal candidate will have strong expertise across Google Cloud Platform (GCP) , Databricks , Python , and PySpark , alongside experience supporting AI-driven initiatives and modern engineering practices.

Key Responsibilities Design, develop and maintain scalable data pipelines and data platforms.

Build and optimise ETL/ELT processes for high-volume data workloads.

Develop solutions using Databricks, PySpark and Python.

Work within GCP environments to deliver robust cloud-native data solutions.

Collaborate with data architects, analysts, data scientists and business stakeholders.

Support data governance, quality and security best practices.

Contribute to AI and machine learning initiatives by enabling reliable data infrastructure.

Drive continuous improvement through automation and engineering best practices.

Required Skills & Experience Proven experience as a Senior Data Engineer in enterprise environments.

• Strong hands-on experience with: Google Cloud Platform (GCP)
• Databricks
• Python
• PySpark

Experience designing and implementing large-scale data pipelines.

Strong understanding of data modelling, data warehousing and modern data architectures.

Experience working within Agile delivery teams.

Excellent stakeholder management and communication skills.

For more information, please apply online

Disclaimer: Any remuneration stated in this advertisement is indicative and will be dependent on the successful candidate's experience, skills and qualifications. Final remuneration will be agreed with the successful candidate and will be subject to the terms of the contract.

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