Data Platform Engineer

Salary: £55,000 - 55,000 per year

Requirements:

• A degree or equivalent experience in Computer Science, Data/Software Engineering or a similar subject, with a strong foundation in core database systems and data structures.
• Proficiency in Databricks and big data coding languages, including SQL, Python and Scala.
• Experience designing and deploying ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics or equivalent tools in AWS/GCP.
• Strong engineering skills, with the ability to write clean, maintainable code, and test and document your work effectively.
• Strong communication and collaboration skills, with the ability to explain technical trade-offs clearly and work effectively across teams and departments.
• Right to work in the UK is an essential requirement - we do not provide sponsorship.

Responsibilities:

• Design, build and operate secure, reliable and cost-effective data pipelines using Azure services and Databricks.
• Ingest and transform data from different sources, handling changes in data and schemas effectively.
• Improve pipeline performance, reliability and cost, while automating tasks and maintaining clear technical documentation.
• Build data quality checks, validation and reconciliation, and contribute to metadata, data lineage and governance requirements.
• Use Git, code reviews, CI/CD and Infrastructure-as-Code to deliver safe, repeatable changes, supported by effective monitoring, runbooks and deployment evidence.
• Work closely with Data Product Engineers, BI & Reporting, IT Solution Architects, Data Governance, Cyber and DPO teams to deliver secure, well-governed data services and support priority datasets.

Technologies:

• AI
• AWS
• Azure
• Big Data
• CI/CD
• Databricks
• ETL
• GCP
• Git
• Support
• Python
• SQL
• Scala
• Cloud

More:

We are Amplius, hiring for a permanent, full-time Data Platform Engineer on a hybrid basis with weekly office presence in Milton Keynes, Rushden, Peterborough or Boston. This role offers a salary of £55,000 per year and a 36.25-hour working week, Monday to Friday from 9am to 5.15pm. We are looking for someone to help us build secure, scalable data pipelines that turn operational data into trusted datasets for reporting, analytics and responsible AI. Shortlisted applicants will complete an online assessment and, if successful, attend interviews in Peterborough. The vacancy may close early depending on application volume or business priorities.

last updated 39 week of 2026