Platform Engineer

Description:

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