Data Engineer

An exciting opportunity has arisen for an experienced Data Engineer to join a high-performing technology and analytics team supporting a fast-paced financial services environment. You will play a key role in designing, building and maintaining scalable data platforms and pipelines that provide critical business and investment insights. Working alongside talented engineers, analysts and stakeholders, you’ll contribute to the ongoing development of a modern cloud-based data ecosystem, ensuring data quality, reliability and accessibility across the organisation. Key Responsibilities Design, build and optimise data pipelines integrating data from multiple internal and external sources. Develop, test and enhance cloud-based data platforms. Monitor and improve data quality, integrity and reliability. Troubleshoot platform and pipeline issues, ensuring high availability. Collaborate with business and technical stakeholders to improve data accessibility and usability. Contribute to the adoption of new technologies and best practices across the data estate.

Experience in Data Engineering or a related field. Strong expertise in SQL and Python. Hands-on experience with Databricks and modern data platform technologies. Experience building and supporting complex data pipelines. Strong problem-solving skills and experience improving data quality and reliability. Excellent communication skills and the ability to work effectively within collaborative teams.

Opportunity to work on challenging, business-critical data initiatives. Exposure to cutting-edge technologies and advanced analytics solutions. Collaborative, high-performing team environment. Clear opportunities for learning, development and career progression. The chance to make a genuine impact from day one. Competitive salary + Bonus