Lead Data Engineer

📋 Description

• Design, build and maintain data pipelines to ingest, transform and deliver data from a range of
• Develop solutions using Databricks, Snowflake or Microsoft Fabric, selecting approaches that suit
• Contribute to data architecture and solution design, including data storage, integration and
• Develop data models, ontologies and semantic layers that establish consistent business definitions
• Implement pipeline orchestration, scheduling, monitoring and operational support to keep data
• Troubleshoot data and pipeline issues, improving performance, scalability and cost efficiency.

🎯 Requirements

• Hands-on experience delivering production data solutions using one or more of Databricks, Snowflake
• Strong programming skills in Python and SQL.
• Experience designing, developing and operating data pipelines, including ETL/ELT processes
• A sound understanding of data architecture and modelling techniques, including analytical and
• An understanding of ontologies and semantic modelling, and how they connect data structures to
• Practical experience optimising data processing and troubleshooting pipeline, query and platform

🎁 Benefits

• Flexible, hybrid working – 20 “work from anywhere” days per year on top of our hybrid policy.
• Global career pathways and non-linear progression; move between domains, disciplines or geographies.
• Continuous learning via certifications, internal academies, tech communities and funded conferences.
• Well-being & lifestyle allowance, loyalty leave, inclusive parental leave and employee
• A vibrant, inclusive culture where diverse perspectives power innovation.
• Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym