Lead Data Engineer

Responsibilities

• Build and evolve ingestion pipelines using Python and dltHub into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other go-to-market systems.
• Design incremental loading, write dispositions, scheduling, and predictable source onboarding.
• Build SQLMesh transformation models across a layered architecture, including tested dimensional models and clear conventions for grain, naming, and auditability.
• Maintain business models for revenue waterfall, go-to-market funnel, marketing attribution, and product usage.
• Improve reliability through data-quality checks, observability, freshness checks, reconciliation tests, execution monitoring, and incident response.
• Own BigQuery and supporting GCP infrastructure, including Terraform, IAM, service accounts, scheduled jobs, and deployment workflows.
• Deliver trusted datasets to Looker Studio, Google Sheets, and internal CRM systems, including reverse ETL into Salesforce.
• Define engineering standards and architecture, review pipeline and model changes, and mentor engineers and analysts.

Requirements

• 6+ years building and operating production data platforms.
• Expert SQL and strong Python skills.
• Experience designing incremental, idempotent, and well-tested pipelines.
• Deep experience with BigQuery or another modern cloud data warehouse.
• Experience with modern ELT tools such as SQLMesh, dbt, dltHub, Fivetran, or Airbyte.
• Experience with orchestration and CI/CD, such as GitHub Actions or Airflow.
• Infrastructure-as-code experience with Terraform.
• Strong data modeling skills, including dimensional modeling, warehouse design, testing, and observability.
• Technical leadership experience through architecture, code reviews, and mentoring.

Nice-to-haves

• Revenue Operations or go-to-market data experience.
• Salesforce and Stripe data modeling.
• Product analytics platforms such as PostHog.
• Marketing attribution and funnel analytics.
• Experience with MRR, expansion, contraction, churn, and revenue reconciliation logic.
• Experience working with business stakeholders while maintaining engineering discipline.
• Deep GCP familiarity, including IAM, service accounts, and BigQuery cost optimization.

Compensation and Benefits

• Generous compensation and 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.