Platform Engineer – Databricks
CompanyDeloitte
Location
City Of London, England, United Kingdom
Employment TypeFull-time
Posted At4/20/2026
UK Visa Sponsorship Analytics
Occupation TypeProgrammers and software development professionals
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,700
(£28.05 per hour)
Occupation rate applies
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Description
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:
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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.
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:
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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.