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 youre passionate about performance optimisation cost efficiency and platform engineering within Databricks wed love to hear from you.
Required Skills:
Platform Engineer / Databricks
Platform Engineer Databricks6 Month Day Rate ContractCompetitive 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 ...
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 youre passionate about performance optimisation cost efficiency and platform engineering within Databricks wed love to hear from you.