Platform Engineer
75000 - 85000 per annumSurrey, 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 platformDevelop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta LakeContribute to platform architecture, engineering standards and best practices across the data estateWork with Product, Analytics and Data Science teams to deliver effective data platform solutionsSupport platform operations, monitoring, performance optimisation and reliabilityApply Infrastructure as Code principles to support consistent and efficient platform managementShare technical knowledge and contribute to continuous improvement across the engineering teamJob Requirements: Significant experience building and supporting scalable, production-grade data platformsStrong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQLGood understanding of cloud-based data engineering, ideally within Microsoft Azure environmentsExperience with Infrastructure as Code tools such as Terraform, Bicep or similarUnderstanding of data modelling, ETL and ELT processes, data quality, security and governanceAbility to collaborate effectively with technical and non-technical stakeholdersExperience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageousKnowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficialDesirable Experience: Databricks certificationsExperience working with retail or consumer packaged goods data, including point-of-sale, inventory or supply chain datasetsUnderstanding of modern data platform architecture and cloud engineering practicesA degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experienceBenefits: Hybrid working, typically with two days in the office, alongside a work-from-anywhere policy25 days Annual leave allowance, bank holidays and an additional day off for a birthdaySummer working hours and flexible working arrangementsAccess to learning platforms, professional development courses and structured career progressionPrivate medical insurance, healthcare support and mental health servicesHome workspace assessment to support a safe and productive working environmentPaid volunteering days and opportunities to support charitable causesAccess to car purchase, gym, technology and other lifestyle benefitsIf 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 at scale.
Salary is negotiable but in the region of 80,000 plus bonus and other benefits.