Staff Data Engineer

About Codat

Codat is an advisory intelligence solution purpose-built for modern commercial banking. Through rich, specialized data, forward-looking insights, and integrated workflows, Codat empowers banking teams to deepen their relationships, grow their revenue, and simplify their day-to-day work.

Founded in 2017 and backed by JPMorgan, PayPal, Amex, Plaid, and Shopify, Codat has successfully powered over 350,000 connections to business customers’ financial systems — and is trusted by industry leaders to turn scattered information into actionable, strategic advantages in real time, every time.

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.

• Stay Curious:
  We seek to understand 'The Why?' to make better decisions.

• Progress over polish:
  We move things forward, make clear calls, and learn through action and feedback

• Own it
  We challenge openly, commit fully and take responsibility for outcomes- good and bad

We are open to candidates from both senior and staff levels and have advertised the role with two salary bands, please select the band which best matches your skills and experience.