Data Engineer

We’re working with a growing consultancy that specialises in delivering modern data solutions for leading financial services organisations. This is an excellent opportunity to join a high-performing team where you’ll be involved in designing, building and deploying scalable, cloud-first data platforms while developing your skills in a collaborative and innovative environment., As a Data Engineer, you will:

• Design and develop scalable data pipelines and modern data platforms.
• Build and maintain ETL/ELT solutions to support analytics and AI initiatives.
• Deliver clean, reliable and well-governed datasets for business and technical stakeholders.
• Work closely with both technical and non-technical teams to translate requirements into scalable solutions.
• Contribute to deployment, monitoring and optimisation of production data platforms.

• Strong SQL skills and experience with cloud-based analytics platforms, ideally Snowflake.
• Strong software engineering background with hands-on Python development experience.
• Experience designing and deploying ETL/ELT data pipelines.
• Knowledge of data modelling techniques and modern data architecture patterns, including medallion architecture.
• Experience with data transformation tools such as dbt.
• Understanding of CI/CD, DevOps practices and production deployments.
• Familiarity with monitoring, observability and alerting tools.
• Strong understanding of data governance, security and access control principles.

Desirable Experience

• Financial services experience.
• Distributed computing environments.
• Streaming and low-latency data processing.
• Containerisation and orchestration technologies.
• Infrastructure-as-Code tooling.
• Exposure to AI-focused technologies, semantic layers or agentic architectures.