Senior Data Engineer

At Benjamin, data runs the business. Every reward we pay out, every game we surface, and every advertiser dollar we attribute depends on the pipelines this role owns. You’ll own our data platform end to end: ingestion into Snowflake, the dbt project, the metric layer, and the data flowing back out to our services and marketing tools. A major focus of your first year is leading the in-house rebuild of our acquisition, RPI (revenue per install) and LTV reporting, with the old and new stacks running side by side until the numbers match.

What you’ll do

• Own the dbt project: models, tests and releases
• Build the metric layer that both people and AI agents rely on for trusted, consistent numbers
• Work agent-first: agents do the bulk work, you build the checks that decide what ships
• Own ingestion into Snowflake: backend databases (CDC where applicable), app events, partner postbacks, attribution data
• Lead the in-house rebuild of our acquisition, RPI and LTV reporting, and retire the old stack once the numbers match
• Own data flowing back out: rankings and scores for our services, audiences for marketing tools
• Keep infrastructure in code: Terraform and CI/CD own services end-to-end
• Own reliability and cost: alerts, freshness, backfills, rollbacks, warehouse spend
• Set how other teams work with data: shipping changes, defining metrics, schema contracts

What we’re looking for

• Several years as a data engineer, running production pipelines others depend on
• Strong SQL and Python: data modelling, incremental models, schema changes
• Production Snowflake (or a similar warehouse), plus working AWS knowledge
• dbt, Airflow and Terraform in production
• Hands-on experience with AI coding agents, and the rigour to check what they produce
• You ship data like software: PRs, tests, CI, rollbacks
• You’ve handled stalls, backfills, access issues and cost overruns
• You’ve led a migration with old and new running side by side
• You can get a decision made with people outside data
• You want to own a platform end to end, from the design decisions to how it runs in production

Our stack

• Data: Snowflake, BigQuery, Postgres, dbt 
• Cloud/infra: AWS (GCP), Terraform, Docker
• Languages: Python, SQL, TypeScript
• Tooling: Hex, GitHub Actions, Git, Airbyte, Claude

You won't have used every tool here, and you don't need to. Strong engineering fundamentals and experience operating production data systems matter more than matching the stack.

Why Join Us?

• Competitive pay: We offer great salaries and bonuses.
• Thriving in Hyper-Growth: Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement.
• Cutting-Edge Collaboration: Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.
• Positive Workplace Culture: Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment.