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Stream Digital Services

Lead Data Engineer

Stream Digital Services

Lead Data Engineer responsible for the data platform powering Stream's global services. Focus on building, evolving, and ensuring data reliability across numerous integrations.

Posted 7/10/2026full-timeAmsterdam • 🇳🇱 NetherlandsSeniorWebsite

Tech Stack

Tools & technologies
AirflowBigQueryCloudGoogle Cloud PlatformPostgresPythonSQLTerraform

About the role

Key responsibilities & impact
  • Build and evolve the ingestion platform: Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems.
  • Build the transformation layer: SQLMesh models across our layered architecture, clean and well-tested dimensional models, and clear conventions for grain, naming, and audit.
  • Improve reliability: expand data quality and observability, build freshness checks, reconciliation tests, and execution monitoring.
  • Own the platform infrastructure: BigQuery and supporting GCP, plus Terraform, IAM, service accounts, scheduled jobs, etc.
  • Enable the business: deliver trusted datasets to Looker Studio, Google Sheets, and our internal CRM.
  • Set technical direction: define engineering standards and architecture, review pipeline and model changes, and mentor engineers and analysts.

Requirements

What you’ll need
  • 6+ years 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 (GitHub Actions, Airflow, or equivalent)
  • Infrastructure-as-code experience with Terraform
  • Strong data modeling skills: dimensional modeling, warehouse design, testing, and observability
  • A track record of technical leadership through architecture, code reviews, and mentoring

Benefits

Comp & perks
  • Generous compensation
  • Company equity
  • 28 days paid time off plus Dutch public holidays
  • A pension scheme
  • A learning and development budget
  • Commute coverage: an NS business card or a company bike
  • A fitness stipend
  • A MacBook Pro and the peripherals you need
  • Catered team lunches and snacks
  • An office in the heart of Amsterdam
  • A strong team to learn from

ATS Keywords

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Hard Skills & Tools
SQLPythonData ModelingDimensional ModelingPipeline DesignObservabilityTestingIncremental PipelinesIdempotent PipelinesCloud Data Warehouse
Soft Skills
Technical LeadershipMentoringCode Review