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# Data Platform Engineer

- **Company:** Supermetrics
- **Location:** Amsterdam, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Disaster Recovery, Identity and Access Management, Python (Programming Language), Snowplow, Software Engineering, SQL Databases, Workflow Management Systems, Delivery Pipeline, Data Layers, Core Data, Kubernetes, Infrastructure Automation Frameworks, Data Management, Terraform, Looker Analytics
- **Published:** July 12, 2026
- **Apply:** https://nl.indeed.com/viewjob?jk=a1f6c17b7a8f4bf3

## About the Role

* 3+ years of experience in platform engineering, data engineering, or infrastructure-focused software development.
 * Background in cloud platforms, especially GCP.
 * Proficiency in Python and SQL.
 * Experience developing, deploying, and managing data platforms and pipelines on Kubernetes.
 * Experience with orchestration tools, specifically Airflow.
 * Experience with CI/CD principles and tools.
 * A genuine ownership mindset, treating the platform as a product for internal customers, not just a codebase to maintain.
 * AI tools embedded in your core work, not something you dabble in occasionally.

## Description

As a Data Platform Engineer, you'll help build, run, and improve the internal data platform that powers ingestion, transformation, and delivery across the business. Reporting to our Data Platform Lead, this is a role with real ownership of the pipelines, tooling, and systems every team at Supermetrics depends on, and AI is part of how we build, not a side experiment., * Core data platform components and services, working closely with Analytics and Data Governance.

 * Our event tracking infrastructure, built on Snowplow/OpenSnowcat, custom data loaders, and tooling like Avo.
 * Data integrations using Datastream, custom pipelines, and Airflow.
 * MCP servers that let AI agents query our governed data layer, making data self-serve for every employee.
 * Deployment workflows across Kubernetes, ArgoCD, and GitOps., * Building with Python, Kubernetes, and Infrastructure as Code, using AI-assisted development for pipeline scaffolding, test generation, and DAG authoring.
 * Contributing to analytics and governance tooling, including dbt, Looker, OpenMetadata, and data contracts.
 * Supporting cloud cost attribution, IAM governance via Terraform, and disaster recovery processes.
 * Building automations using AI and agent technologies that make a real, measurable difference.
 * Collaborating with dev teams on data collection and integration best practices.
 * Participating in technical discussions that shape where our data platform architecture goes next.


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