Data Engineer NEW

Michael Page Technology

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.