Junior Data Engineer

Gravitas is partnering with a growing financial services organisation seeking a Junior Data Engineer.

This role is ideal for an engineer with 1-2 years experience.

If you’re passionate about technical excellence, enjoy influencing best practice, and want to help shape a modern Azure‑based lakehouse, this is an excellent opportunity to step into a high‑impact role.

What You’ll Be Doing

• Act as the technical authority within the team, leading architecture decisions and ensuring high engineering standards.
• Design, build, and optimise scalable data pipelines on Databricks, integrating sources such as SQL Server.
• Develop and maintain Delta tables, workflows, and jobs within the Databricks lakehouse.
• Support the build and productionisation of ML feature pipelines alongside analytics and data science colleagues.
• Ensure all pipelines are well‑tested, monitored, observable, and thoroughly documented.
• Contribute to engineering best practices, documentation, tooling, and platform maturity.
• Support the ongoing development and optimisation of the organisation’s Azure data infrastructure.

What You Bring

Technical Skills

• 1-2 years experience as a Junior Data Engineer
• Strong Python and SQL capabilities.
• Demonstrable experience coaching, mentoring, or upskilling fellow engineers.

Nice to Have

• Experience working with Azure cloud services.
• Experience with SQL Server and hybrid on‑prem/cloud architectures.
• Exposure to ML feature engineering or feature store development.
• Experience working in financial services or other regulated environments.
• Understanding of data governance practices, frameworks, and tooling.

What’s on Offer

• £40,000-£50,000 base salary
• Discretionary annual bonus
• 25–30 days holiday (based on service) + birthday day off
• Pension scheme with up to 5% matched contributions
• Cycle & Tech schemes

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