Opus is partnering with a new client to support a major data platform build, and we’re looking for a Senior Data Engineer to play a key role in the next phase of delivery. This is a hands-on contract position focused on building out a modern cloud-based data environment using Azure, Databricks, and Lakehouse architecture principles.
You’ll be working within a growing data function, helping to design and deliver scalable, production-grade data solutions that underpin reporting and analytics across the business. This role will suit someone who enjoys taking ownership, working closely with stakeholders, and translating business requirements into robust data engineering solutions.
What you'll be doing:
Design, build and optimise data pipelines using Azure Data Factory, Databricks, Python and SQL
Work within a Lakehouse / Medallion architecture framework
Develop and maintain data models and structures to support analytics and reporting
Work across Azure SQL / MS SQL environments
Improve and maintain CI/CD and deployment pipelines for data workflows
Support downstream analytics, including Power BI datasets
Contribute to data quality, governance and best practice standards
What we are looking for:
Strong hands-on experience with Databricks and Azure data platforms
Databricks certification (current/relevant)
Advanced SQL skills (MS SQL / Azure SQL)
Strong Python experience
Experience building scalable data platforms, ideally using Lakehouse architecture
Solid understanding of data modelling, data quality and governance
Experience working with Git and CI/CD pipelines
If this is a role that suits your skill set, you can travel to Cardiff on a hybrid basis of 2 days per week and available immediately then please apply for the job advert directly or reach out to me with your CV to (url removed).
Senior Databricks Engineer | Hybrid | Cardiff | Outside IR35 | £400 - £500
Salary description
£400.00 - £500.00 per day