# Lead Data Engineer

**Company:** [Stream](https://hotfix.jobs/companies/stream)
**Location:** Amsterdam, Netherlands
**Role:** Data Engineering
**Experience:** 6+ years
**Skills:** Python, SQL, BigQuery, GCP, Terraform, Sqlmesh, Dlthub, dbt, Fivetran, Airbyte, GitHub Actions, Airflow, Salesforce, Stripe, Postgres
**Posted:** 2026-09-07

> Own and evolve Stream’s revenue operations data platform, including ingestion, transformation, modeling, reliability, and GCP infrastructure. The role requires 6+ years of production data-platform experience, expert SQL, strong Python, modern ELT, Terraform, and technical leadership.

## Job Description

## 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.

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