A technology organisation is expanding its Advanced Analytics capabilities and is building the next generation of its Data Science and AI platform.
The company is looking for a Data & Platform Engineer to design and maintain the data infrastructure enabling analytics, machine learning, and AI initiatives across the organisation.
This role focuses on building scalable data pipelines, supporting data teams, and contributing to the evolution of a modern cloud-based data platform.
Develop and maintain the Data Science & AI platform
Enable experimentation, deployment, and monitoring of machine learning workloads
Implement MLOps best practices and CI/CD for data products
Design and build reliable data ingestion pipelines
Optimize data transformation processes and data models
Ensure data quality, reliability, and security
Collaborate with Data Scientists to industrialize features and datasets
Support analytics and advanced AI use cases
Ensure platform usability, documentation, and continuous improvement
Work closely with Data Scientists, Analysts, and Architects to build reusable data assets
Minimum 3 years of experience in Data Engineering or Platform Engineering
Strong experience with cloud services for industrialized data analytics projects
Proven expertise with Databricks (core runtime, jobs, workflows, Delta Lake)
Experience with Infrastructure-as-Code (Terraform preferred)
Strong Python and PySpark skills
Experience with SQL
Knowledge of Git and CI/CD workflows
Fluent in English
Ability to work onsite two days per week (Tuesday and Thursday)
Experience in building AI or Data Science platforms
Good communication and collaboration skills
Knowledge of containerisation principles
Experience with Docker or Kubernetes
