Data Engineer

We're looking for a Data Engineer who has hands-on experience integrating databases and external APIs, understands AWS infrastructure, and is comfortable working with tools like DBT to model and transform data. You'll help build and scale our data platform from ingestion through to the warehouse layer, powering AI Agents, BI, and business decisions across the organization.

What you'll do

• Build and maintain data pipelines from ingestion through to storage
• Take end-to-end ownership of pipeline components
• Model data using data lake and warehouse concepts, and contribute to performance improvements (partitioning, file formats, tuning)
• Apply data governance and security practices in your work (least-privilege IAM, encryption, PII handling)
• Support the team with data quality, coding consistency and data availability
• Collaborate with analysts and stakeholders to translate requirements into working data solutions
• Identify, formulate, and propose improvements to your own and your team's practices

What you'll need

• 2–4 years of hands-on experience building and maintaining data pipelines in production
• Strong Python and advanced SQL skills
• Basic Scala experience, or a willingness to pick it up (if not, excellent domain of Java or C#)
• Familiarity with DBT (models, tests, documentation)
• Solid working knowledge of AWS
• Experience with relational databases and data warehouses
• Confident in Git, CI/CD, and modern deployment practices
• Practical experience with Docker

Nice to have

• Experience with Apache Spark or a similar distributed processing framework
• Working knowledge of Kubernetes
• Bash scripting
• Flyway or similar SQL migration tools