Data Engineer

Want to work on real use cases like underwriting and claims with actual impact?

Role overview

We are seeking an experienced Data Engineer to support the design and delivery of a modern, cloud-native data platform. This role is critical to the success of a large-scale transformation programme, focused on consolidating multiple data sources into a unified, scalable architecture to enable improved analytics, data governance, and operational insights.

Technical requirements: ️

• Substantial experience designing and implementing data solutions on Microsoft Azure
• Hands-on expertise with Snowflake, including data modelling, performance optimisation, and secure data sharing practices.
• Proficiency in DBT (Data Build Tool), with a strong understanding of modular pipeline development, testing, and version control.
• Familiarity with Power BI,particularly in integrating data models to support both enterprise reporting and self-service analytics.
• Candidates must demonstrate experience working in Agile environments, delivering in iterative cycles aligned to business value.

Tech Stack:

• Azure
  
• Power BI
• DBT
• Snowflake

About us

esynergy is a technology consultancy and we build products, platforms and services to accelerate value for our clients.

We drive measurable impact that is tightly aligned to our clients' business objectives. Put in practice that means high transparency, metric-driven reporting, and incremental handovers and a consistent focus on building our clients' capability.

Our delivery teams are small and highly functional, formed by a vetted ecosystem of associates, luminaries and partners. We choose technologies that are the right fit for our clients' needs and are not opinionated around specific tech stacks and service offerings.