Full Stack Data Engineer, MOOT

• Are you a passionate Full Stack Data Engineer looking to make a tangible impact?
• Ready to build scalable, data-driven infrastructure powering real-time insights, analytics, and audience targeting?
• If you're driven by curiosity, love working autonomously, and thrive in a start-up style environment, this is your role
• 5+ years experience in data engineering, backend development, or full-stack roles, preferably in AdTech, MarTech, or similarly high-scale environments
• Essential Skills:
• Strong Python experience for building data pipelines and APIs
• 5+ years experience in data engineering and
• Node.js experience (APIs, backend services, orchestration)
• Deep AWS experience (S3, Lambda, Glue, Athena, IAM, CloudWatch)
• Strong with relational databases (Postgres, MySQL, Aurora RDS)—schema design, query tuning, modelling
• Familiar with common data formats: CSV, JSON, Avro
• Strong grasp of CI/CD, Git, infrastructure-as-code (Terraform, CloudFormation)
• A “get-it-done” mindset—balancing speed with clean, maintainable code
• You own your work from infrastructure to implementation
• You’re pragmatic—you can balance technical debt, speed, and scale
• You care deeply about code quality, data integrity, and maintainability
• You enjoy collaborating cross-functionally and communicating with clarity
• You're always learning, keeping an eye on the latest tools and best practices in cloud and data engineering

Desirable

• Join our lean, ambitious engineering team as we scale our Demand-Side Platform (DSP). From the nuts and bolts of ETL pipelines to cloud-first infrastructure and intuitive APIs, your work will directly shape the future of our data systems and product strategy
• Architect and optimize ETL pipelines that handle large-scale log data from multiple third-party platforms
• Design and build RESTful and/or GraphQL APIs to drive reporting tools and dashboards
• Deploy serverless and containerized jobs (Lambda, Glue, etc.) to automate critical data workflows
• Partner with internal stakeholders—from Product to Leadership—to turn raw data into actionable insights
• Manage and evolve our AWS infrastructure (S3, Athena, Lambda, RDS/Postgres)
• Contribute to frontend data tools (React, TypeScript) when needed
• Build with quality in mind—ensuring data integrity, observability, and scalability across systems
• Continuously improve engineering practices, documentation, and developer experience