Platform Engineer
Job in
Guildford, Surrey County, GU1 3ES, England, UK
Listed on 2026-10-19
Listing for:
Matchtech
Full Time
position Listed on 2026-10-19
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Surrey, England
Permanent
Our client is seeking a Senior Platform Engineer to join its technology and data engineering team in a permanent hybrid role across Surrey and Greater London. This is a hands-on opportunity to help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business.
Key Responsibilities:
Design, build and enhance a secure, scalable and reliable Databricks platform
Develop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta Lake Contribute to platform architecture, engineering standards and best practices across the data estate
Work with Product, Analytics and Data Science teams to deliver effective data platform solutions
Support platform operations, monitoring, performance optimisation and reliability
Apply Infrastructure as Code principles to support consistent and efficient platform management
Share technical knowledge and contribute to continuous improvement across the engineering team
Job Requirements:
Significant experience building and supporting scalable, production-grade data platforms
Strong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQLGood understanding of cloud-based data engineering, ideally within Microsoft Azure environments
Experience with Infrastructure as Code tools such as Terraform, Bicep or similar
Understanding of data modelling, ETL and ELT processes, data quality, security and governance
Ability to collaborate effectively with technical and non-technical stakeholders
Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous
Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial
Desirable
Experience:
Databricks certifications
Experience working with retail or consumer packaged goods data, including point-of-sale, inventory or supply chain datasets
Understanding of modern data platform architecture and cloud engineering practicesA degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experience
Benefits:
Hybrid working, typically with two days in the office, alongside a work-from-anywhere policy
25 days Annual leave allowance, bank holidays and an additional day off for a birthday
Summer working hours and flexible working arrangements
Access to learning platforms, professional development courses and structured career progression
Private medical insurance, healthcare support and mental health services
Home workspace assessment to support a safe and productive working environment
Paid volunteering days and opportunities to support charitable causes
Access to car purchase, gym, technology and other lifestyle benefits
If you are an experienced Platform Engineer with strong Databricks and data platform engineering expertise, this is an excellent opportunity to contribute to modern cloud data solutions ary is negotiable but in the region of 80,000 plus bonus and other benefits.
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