Platform Engineer – Databricks
6 Month Day Rate Contract
Competitive Day Rate (Inside IR35)
Hybrid, 3 days on site in London
We are seeking an experienced Platform Engineer with strong expertise in Databricks and PySpark to join our team on a contract basis. This role is focused on platform optimisation, performance, and cost efficiency, ensuring our Databricks environment runs at its optimum level.
Key Responsibilities:
- Manage and optimise the Databricks platform to ensure high performance and cost efficiency
- Analyse DBU consumption and drive improvements in platform utilisation
- Monitor and enhance PySpark pipeline performance
- Make informed decisions on scaling up/down clusters based on workload demands
- Establish and maintain automated release management processes
- Focus on operational excellence across the platform environment
- Gather performance data and provide clear evidence-based insights to stakeholders and Databricks teams
Key Skills & Experience:
- Strong hands-on experience with Databricks platform engineering
- Solid expertise in PySpark and performance tuning
- Proven experience optimising data pipelines and platform costs
- Experience with cluster management and scaling strategies
- Ability to analyse performance metrics and present findings effectively
- Familiarity with platform operations and reliability best practices
Additional Information:
- Industry experience in Trading & Supply is not required
- This is an optimisation-focused role, rather than development-heavy
If you’re passionate about performance optimisation, cost efficiency, and platform engineering within Databricks, we’d love to hear from you.