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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production data platforms, with a strong focus on SQL, Python, and modern ELT tooling. Capable of leading technical direction, mentoring teams, and ensuring data quality and observability across cloud data infrastructures.

Highest-signal resume keywords

Expert SQLStrong PythonBigQuery ExperienceInfrastructure-as-Code with TerraformData Modeling Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingDimensional ModelingPipeline DesignObservabilityTestingIncremental PipelinesIdempotent PipelinesCloud Data Warehouse

Soft Skills

Technical LeadershipMentoringCode Review

Tools & Technologies

BigQuerySQLMeshDltHubFivetranAirbyteGitHub ActionsAirflowTerraformLooker StudioGoogle Sheets

Industry Keywords

Data PlatformELT ToolingCloud BillingGTM SystemsData QualityExecution MonitoringData Freshness ChecksReconciliation Tests

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