Senior Data Engineer - FinTech

Overview

In this Senior Data Engineer role you will own the data architecture, shaping how data is structured, stored and accessed across the business. You will build and optimize pipelines primarily with Airflow, while enforcing governance and data residency considerations across regions. You’ll collaborate with senior stakeholders to improve performance, scalability and data usage, and help define future data engineering approaches including repository replication and CI/CD practices. The role sits at the intersection of technology and regulation, offering impact across a scaling FinTech platform and cross‑border data initiatives. You’ll join a collaborative team with strong growth potential in ahy

Pay / Benefits

• salary up to 130k
• bonus
• hybrid working
• career progression
• collaborative culture

Responsibilities

• Own data architecture and how data is structured, stored and accessed
• Build and optimise data pipelines using Airflow
• Establish data governance frameworks including ownership and access policies
• Manage data across multiple geographies with residency considerations
• Collaborate with senior stakeholders on data ownership, architecture and usage
• Improve performance, efficiency and scalability of the data infrastructure
• Shape future data engineering approaches, including dataset replication and environment management
• Advocate and implement modern CI/CD practices for data pipelines

Key requirements

• Strong traditional data engineering background
• Strong Python coding skills
• Experience building and optimising data pipelines
• Experience with Apache Airflow or similar orchestration technologies
• Experience with CI/CD and modern software engineering practices
• Understanding of data architecture, modelling, transformation and storage
• Experience with data governance and data ownership
• Understanding of data residency across geographies

• collaborative
• pragmatic communication
• cross-functional collaboration
• Python
• Apache Airflow
• CI/CD