Data Engineer

Data Engineer

Location: UK (Hybrid)
Type: Permanent
Sector: Consultancy / Financial Services

Are you a Data Engineer looking to work on cutting-edge cloud data platforms that drive analytics, AI and business-critical decision-making?

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.

The Role

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.

Required Skills & Experience

* 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