Senior Data Engineer
Leeds/Manchester - hybrid 2x week in office
Salary: up to £75,000
This is an opportunity to play a key role in building and improving a modern cloud data platform for a growing financial organisation. You will shape data architecture, deliver high‐quality pipelines, and help uplift engineering standards in a team that values innovation, governance, and technical leadership.
The Company
They are a fast‐growing financial services organisation with a strong presence across the UK. Their work spans commercial banking, fintech‐focused services, and SME lending. With continued investment in data and technology, they are scaling their data capabilities to support new products, stronger analytics, and an ambitious transformation agenda. You will join a team focused on building a trusted, well‐governed, and scalable data environment.
The Role
• Own the design, build, and optimisation of cloud‐based ELT and ETL pipelines.
• Shape the data warehouse architecture and ensure data is prepared for analytics, reporting, and operational use.
• Improve existing processes and contribute to a modernised engineering approach.
• Introduce governance best practices including data quality, observability, lineage, and access control.
• Mentor a junior engineer and support the uplift of engineering standards.
• Contribute to potential migration projects and wider transformation initiatives.
• Collaborate with data, engineering, and business teams in an agile environment.
Your Skills and Experience
• Strong commercial experience working as a Data Engineer in a cloud environment.
• Proven capability with AWS, Python, SQL, and Airflow.
• Hands‐on experience designing and maintaining data pipelines and data models.
• Knowledge of Redshift or similar cloud data warehouse tools.
• Experience with infrastructure‐as‐code tools such as Terraform.
• Understanding of data governance, quality, and architectural best practices.
• Comfortable operating in fast‐scaled environments such as fintechs, scale‐ups, or modern engineering teams.
What They Offer
• Hybrid working with 2–3 days per week in the office.
• A collaborative culture and clear opportunities for technical growth.
• Exposure to modern tooling including AWS, Redshift, Airflow, Terraform, and dbt.
• The chance to shape a data platform and have meaningful influence on engineering standards.
How to Apply
If you are interested in this Senior Data Engineer position, please apply with your CV.