Data Engineer

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This range is provided by Codat. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Codat helps banks, FI's and fintechs create stronger, data‑driven relationships with their business customers. Our platform makes it easy for banks to access, synchronize, and interpret data from customers' financial software, enabling critical use cases such as supplier onboarding for commercial card and virtual card programs, accounting automation and underwriting business loans. We empower the world's largest financial institutions, banks and fintechs to grow their share of wallet, reduce churn, and scale operations efficiently.

Codat is backed by leading investors, including JP Morgan, Canapi Ventures, Shopify, Plaid, Tiger Global, Pay Pal Ventures, Index Ventures, and American Express Ventures.

The role

We are looking for a highly motivated, product‑minded Staff or Senior Data Engineer to join our Insights team. As a technical leader, you'll blend strategic vision with hands‑on delivery, building and evolving a scalable data platform that transforms raw data into a foundation for actionable business insights. You'll thrive in a fast‑paced, startup‑like environment and be deeply motivated by solving user problems and creating real business impact.

• Own the entire project lifecycle, from initial design to final delivery. This includes developing a deep understanding of the data domain to architect solutions that deliver genuinely actionable intelligence.
• Drive technical excellence and lead architectural decisions that improve our technology stack. You'll be instrumental in shaping our product, influencing the team's technical strategy and fostering a culture of continuous improvement.
• Mentor other engineers of all levels, championing best practices and raising the team’s bar.
• Proactively identify and prototype opportunities to embed AI into our core products to deliver novel value to clients. You'll also drive the use of AI tools to enhance engineering productivity and upskill others across the team.
• Collaborate effectively with technical and non‑technical stakeholders, communicating complex concepts to influence our technical roadmap.

• Extensive experience with distributed systems, large‑scale data and modern data engineering technologies.
• Deep expertise in a strongly typed language and the ability to quickly deliver value in C# and Python.
• Practical experience with tools such as Databricks Delta Lake, SQL, Spark, Dagster, DBT, Temporal and Airflow.
• Proficiency in modern build and deployment processes, including automated, progressive continuous deployments in a cloud‑based environment.
• A proven track record of building robust, reliable systems with a strong focus on observability, data quality, and operational excellence.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.
• A strong desire to learn a new business domain and use that data‑centric understanding to influence product design.

• United - you focus on “we” over “me”, you lead your team and colleagues to solve problems together.
• Unstoppable - action orientated, you get going, embrace challenges, provide clarity in ambiguity and elevate everything around you to new levels.
• Useful - You focus on solving real problems for our customers, you consistently look to innovate and are not limited by the ‘scope’ of your role.

£100K - £140K

Mid‑Senior level

Full‑time

Information Technology

Location:

London, England, United Kingdom