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A leading financial institution seeks a proactive Data Engineer to implement and optimize ETL solutions using SQL and Python. This high-impact role involves managing data pipelines, ensuring compliance, and driving efficiencies within critical finance projects, all in a dynamic, collaborative environment.
About Our Client
A well-established, award-winning financial institution with a strong reputation for innovation and customer-focused solutions. They specialise in specialist mortgages, savings, and business finance, supporting a diverse range of clients, from first-time buyers to entrepreneurs. With a fast-paced and dynamic environment, they are committed to digital transformation and data-driven decision-making, making this an exciting opportunity to be part of impactful finance projects.
Job Description
The Successful Applicant
The successful candidate will be a proactive and detail-oriented Data Engineer with a strong background in SQL Server and Python, particularly in ETL development and financial data processing. They will have experience working with large datasets in a financial services environment, demonstrating strong data governance, automation, and troubleshooting skills.
They should be comfortable working in a fast-paced, project-driven setting, capable of managing multiple priorities, and collaborating effectively with finance, treasury, and technology teams. Strong problem-solving abilities, communication skills, and technical documentation expertise are essential. A can-do attitude, curiosity for new technologies, and a drive for continuous improvement will set them apart in this high-impact role.
What's on Offer