Full job description

This is a hands-on Data Engineer role focused on building and optimising modern data pipelines across Fabric and Snowflake. You’ll play a key role in delivering scalable, secure, and high-performance data solutions that support analytics, reporting, and AI initiatives.


Client Details




Our client is an international organisation operating at the intersection of financial services, professional development, and data-driven products. They work with global institutions to deliver specialist solutions that combine domain expertise with technology and analytics. As they continue to evolve their digital capabilities, data is becoming a central pillar in enhancing both their internal operations and client-facing services.




Description


*Design and deliver scalable ETL/ELT pipelines across Microsoft Fabric and Snowflake
*Build and maintain integrations from multiple data sources (APIs, files, feeds)
*Implement medallion architecture (bronze, silver, gold) to support analytics and reporting
*Develop data models, schemas, and semantic layers for BI and downstream use
*Enable interoperability between OneLake/Fabric and Snowflake environments
*Optimise performance, cost efficiency, and reliability of data pipelines
*Troubleshoot data quality and performance issues, driving continuous improvement
*Implement robust security, governance, and client data segregation controls
*Support AI/ML use cases through data preparation, feature engineering, and pipelines
*Work closely with cross-functional teams and deliver through Jira-based workflows
*Maintain documentation, version control (GitHub), and CI/CD best practices






Profile


*5+ years’ experience in data engineering roles delivering scalable data solutions
*Strong expertise in SQL, data modelling, and cloud data platforms
*Hands-on experience with Snowflake and Microsoft Fabric (OneLake)
*Proficiency in Python and PySpark, including notebooks and automation
*Experience building and maintaining ETL/ELT pipelines at scale
*Strong understanding of performance optimisation and cost management
*Knowledge of data security, governance, and privacy (e.g. GDPR)
*Experience with BI tools (Power BI preferred)
*Comfortable working in Agile environments with Jira, CI/CD, and GitHub
*Proactive, self-sufficient, and strong collaborator across teams






Job Offer
*Competitive daily rate approx £400-500 per day outside IR35
*6month contract with potential to extend.
*3 days per week based in Liverpool Street, London.
*Temporary position offering valuable experience in data analytics and engineering.