Data Platform Engineer

Are you experienced in building reliable data platforms? Join Amplius as a Data Platform Engineer and help us to build secure, scalable data pipelines that turn operational data into trusted datasets for reporting, analytics and responsible AI.

Your week: 36.25 hours - Monday to Friday 9am to 5.15pm, * 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.

• 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.