Overview

This role, with a leading organisation within the Financial Services space, is for a Data Engineer to join a high-performing team. This is an exciting opportunity to modernise legacy platforms, deliver robust data solutions, and contribute to business-wide insight initiatives.

Key Responsibilities

• Design, build, and maintain high-performance data pipelines and APIs.
• Collaborate cross-functionally to understand business needs and align data strategies accordingly.
• Assemble and optimise large, complex data sets from diverse sources using SQL, dbt, and Azure technologies.
• Champion data quality and promote a data-as-a-product mindset.
• Define and document technical architecture, including cloud solutions and system diagrams.
• Develop and document test scripts to support robust, reliable deployments.
• Support troubleshooting and continuous improvement in all areas of data management.
• Participate actively in architectural discussions and system evaluations.
• Foster a strong sense of ownership, urgency, and teamwork within the engineering function.

Key Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience with Azure infrastructure, including Infrastructure as Code and CI/CD pipeline development (GitHub / Azure DevOps).
• Strong proficiency in Python and SQL, with a solid understanding of data warehousing and ETL best practices.
• Experience working with both structured and unstructured datasets.
• Demonstrated ability to communicate effectively with technical and non-technical stakeholders.
• Strong influencing skills and experience working in collaborative, cross-functional environments.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology

Referrals encourage applications; applicants will be notified about new Data Engineer opportunities.