Lead Data Engineer (GCP)

Salary: £62,000 - 102,000 per year

Requirements:

• We bring deep expertise in GCP, with hands-on experience using tools such as BigQuery, Dataflow, and Cloud Functions.
• We are proficient in Python, SQL, and modern data engineering tools, with familiarity with JavaScript for cross-functional collaboration.
• We have a strong background in Snowflake and Databricks to support scalable data solutions.
• We have leadership experience mentoring a team, with the ability to inspire and grow talent.
• We take a commercially minded approach, aligning data solutions to business priorities and outcomes.

Responsibilities:

• We take ownership of the end-to-end design and development of scalable, cloud-based data infrastructure, with a primary focus on Google Cloud Platform (GCP).
• We lead, mentor, and develop the existing team of two data engineers.
• We build and optimise robust data pipelines with Python, Snowflake, and Databricks, ensuring seamless integration into business processes.
• We drive CI/CD best practices to maintain reliability and efficiency across the data engineering lifecycle.
• We develop data models that support pricing decisions, market analysis, and investment strategies.

Technologies:

• BigQuery
• CI/CD
• Cloud
• Databricks
• GCP
• Support
• JavaScript
• Python
• SQL
• Snowflake
• UX UI Design

More:

We are a leader in our field, working with a passionate, highly skilled team where sustainability is at the core of everything we do. This Lead Data Engineer role is based in London on a hybrid working model, with three days a week onsite in our modern, well-connected office. We offer a salary of 90,000 to 110,000 depending on experience, along with a competitive bonus, private medical cover, pension, and a collaborative team culture. There is room to grow into more senior roles as our team and organisation scale, and the role gives you the opportunity to work at the heart of data-driven decision-making for a company that places sustainability at the centre of its strategy.

last updated 35 week of 2026