Play a key part in designing and delivering modern, enterprise-scale data platforms for our clients
Lead by owning architecture decisions
Guide engineering teams
Partner closely with stakeholders to translate complex business requirements into robust, scalable cloud solutions

More than 6 years of experience in data engineering, ideally within consulting or professional services
Proven experience leading and delivering large-scale enterprise data programs
Deep hands-on expertise in: Azure data services (Data Lake, Synapse, Azure SQL, etc.)
Azure Data Factory (ADF), Snowflake, dbt
Advanced SQL skills and strong data modelling expertise (dimensional modelling, ELT patterns)
Experience designing and implementing cloud-native data architectures
Experience implementing data quality, lineage, and governance frameworks
Excellent stakeholder management and communication skills
Demonstrated leadership capability across multi-stakeholder delivery environments
Experience with a consulting background (advantage)
Experience with Agile delivery methodologies (advantage)

We’ll cover the cost of your training and certifications in the latest tools and technologies, including AWS, Azure, Snowflake, and AI
Regular social events to connect. Previous events include private cinema screenings, bubble soccer, minigolf, bowling, and social drinks
Genuine recognition for work and valued behaviour
Mentorship and collaboration from industry leaders

Senior Data Engineer – Snowflake

Key skills