Lead Data Engineer — End-to-End Data Platform

Stream; Amsterdam; On-site; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Generous compensation

Company equity

28 days paid time off + Dutch holidays

Pension scheme

Learning and development budget

Commute coverage: NS card or company‑b

Fitness stipend

MacBook Pro and peripherals

Catered team lunches and snacks

Office in Amsterdam

Strong team to learn from

Job summary

Stream is seeking a Lead Data Engineer to own the data platform powering Revenue Operations. This full-time role is based in our Amsterdam office, focusing on building durable data pipelines, modeling, and trusted datasets for GTM decisions.

You will lead architecture and mentoring while working in a fast, hands-on environment. Expect collaboration across Salesforce, Stripe, Postgres, and analytics tools, with a modern cloud-first stack and a focus on reliability and cost awareness.

Qualifications

• 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 ELT tooling: SQLMesh, dbt, dltHub, Fivetran, or Airbyte.
• Experience with orchestration and CI/CD (GitHub Actions, Airflow).
• Infrastructure-as-code with Terraform.
• Strong data modeling: dimensional modeling, warehouse design, testing, observability.
• Track record of technical leadership through architecture, code reviews, and mentoring.

Responsibilities

• Build and evolve the ingestion platform: Python/dltHub pipelines loading into BigQuery, integrating Salesforce, Stripe, Postgres, PostHog, cloud billing, and other GTM systems; design incremental loading and onboarding of new sources.
• Build the transformation layer: SQLMesh models across layered architecture with well-tested dimensional models and conventions.
• Improve reliability: data quality, observability, freshness checks, reconciliation tests, and incident response.
• Own the platform infrastructure: BigQuery, Terraform, IAM, service accounts, scheduled jobs, deployment workflows.
• Enable the business: deliver trusted datasets to Looker Studio, Google Sheets, and internal CRM; run reverse ETL to Salesforce.
• Set technical direction: define engineering standards and architecture, review changes, mentor engineers and analysts.

Skills

Production data platforms

Expert SQL

Python

Incremental pipelines

Data modeling

Technical leadership

BigQuery

ETL tooling

Orchestration/CI/CD

Terraform

Tools

BigQuery

dbt

dltHub

Fivetran

Airbyte

SQLMesh

GitHub Actions

Airflow

Terraform

Job description

Stream is seeking a Lead Data Engineer to own the data platform powering Revenue Operations. This full-time role is based in our Amsterdam office, focusing on building durable data pipelines, modeling, and trusted datasets for GTM decisions.

You will lead architecture and mentoring while working in a fast, hands-on environment. Expect collaboration across Salesforce, Stripe, Postgres, and analytics tools, with a modern cloud-first stack and a focus on reliability and cost awareness.