Job Description
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