Platform Engineer

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 SQL

Good 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 practices

A 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 at scale.

Salary is negotiable but in the region of £80,000 plus bonus and other benefits