data engineer for revenue operations

Stream provides real-time chat, video, activity feeds, and AI moderation infrastructure for billions of end-users across thousands of applications. Its platform processes billions of API requests per month and supports applications with millions of concurrent users.

• Build and evolve Python/dltHub ingestion pipelines into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems;
• Design incremental loading, write dispositions, scheduling, and predictable source onboarding;
• Build SQLMesh transformation models across the layered architecture;
• Develop clean and tested dimensional models with clear conventions for grain, naming, and audit;
• Maintain core business models for revenue waterfall, GTM funnel, marketing attribution, and product usage;
• Improve data quality and observability through freshness checks, reconciliation tests, and execution monitoring;
• Lead incident response for stale, incorrect, or late data and trace issues across pipelines, transformations, and upstream systems;
• Own BigQuery and supporting GCP infrastructure, Terraform, IAM, service accounts, scheduled jobs, and deployment workflows;
• Deliver trusted datasets to Looker Studio, Google Sheets, and the internal CRM;
• Run reverse ETL into operational systems such as Salesforce;
• Define engineering standards and architecture;
• Review pipeline and model changes;
• Mentor engineers and analysts contributing to the platform.

• 6+ Years of experience building and operating production data platforms;
• Expert SQL and strong Python;
• Experience designing incremental, idempotent, well-tested pipelines;
• Deep experience with BigQuery or another modern cloud data warehouse;
• Experience with modern ELT tooling such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte;
• Experience with orchestration and CI/CD using GitHub Actions, Airflow, or equivalent tools;
• Infrastructure-as-code experience with Terraform;
• Strong data modeling skills, including dimensional modeling, warehouse design, testing, and observability;
• Track record of technical leadership through architecture, code reviews, and mentoring;
• Comfortable owning a platform end to end and working hands-on in a small, fast-moving, unfinished environment;
• Nice to have: Revenue Operations or GTM data experience, Salesforce and Stripe data modeling, product analytics platforms such as PostHog, marketing attribution and funnel analytics, MRR and expansion/contraction/churn and revenue reconciliation logic, close collaboration with business stakeholders while maintaining engineering discipline, deep GCP familiarity including IAM, service accounts, and BigQuery cost optimization.

• Company equity;
• 28 Days of paid time off plus Dutch public holidays;
• Pension scheme;
• Learning and development budget;
• Commute coverage through an NS business card or company bike;
• Fitness stipend;
• MacBook Pro and required peripherals;
• Catered team lunches and snacks;
• Relocation to an office location is available.