Role Overview
Design and build a data platform as a software, with decoupled layers, stable interfaces, and tests at every frontier. Work closely with business teams to understand their needs and respond with well-designed, tested, and documented code.
What You Will Do
Build and evolve the data stack, from data system ingestion to tools used by business teams. Design and integrate new data systems, including future back-office and partner company data stack.
Why It Might Be a Fit
You will be part of a data and tech team that advances on common projects, from client application to data warehouse. You will work closely with Offer, Ops, and Marketing teams to understand their needs and respond with applications and enrichments to our semantic layer.
Requirements
- At least 4 years in data engineering, analytics engineering, or backend development, ideally in a startup or scale-up.
- System design skills, including object-oriented design and interfaces.
- Basic computer science skills, including understanding workloads, infrastructure needs, and data migration.
- Production Python skills, including typing, testing, and daily use.
- SQL mastery and dbt experience.
- GCP skills, including BigQuery, Cloud Run, IAM, and infra as code (Terraform or equivalent).
- CI/CD skills.
- Data ingestion skills, including CDC and Airbyte.
- Working with Claude Code every day, including writing precise specifications and verifying affirmations by measures.
To apply for this job please visit linkedin.com.
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