n8n GmbH logo

Senior Data Engineer

Job Overview

Location

Germany

Job Type

Full-time

Category

Data & Analytics

Date Posted

July 21, 2026

Full Job Description

đź“‹ Description

  • • The AI orchestration of your wildest imagination.
  • • n8n is the open workflow orchestration platform built for the new era of AI.
  • • We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits.
  • • Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
  • • Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin.
  • • Along the way, we’ve:
  • • Cultivated a community of more than 650,000 active developers and builders
  • • Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
  • • Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
  • • That’s the company we’ve built. Now we’d love to see what you can build.
  • • If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us.
  • • The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
  • • We’re in a defining moment of an incredible journey. Come and build with us.
  • • Your main goal will be to build and scale the reliable data infrastructure that powers analytics, AI-driven decision-making, and smarter growth across n8n.
  • • You’ll own critical parts of our modern data stack and help turn growing data needs into trusted, scalable systems:
  • • BUILD AND OWN OUR DATA PIPELINES
  • • Design, build, and own end-to-end data pipelines and transformation workflows using dbt on BigQuery.
  • • Develop scalable ELT models that support analytics, AI, marketing, and operational use cases.
  • • Take ownership of existing pipelines while improving their reliability, maintainability, and performance.
  • • SCALE ORCHESTRATION AND RELIABILITY
  • • Orchestrate and schedule data workflows using Dagster, ensuring pipelines are reliable, observable, and easy to operate.
  • • Build robust testing, monitoring, alerting, and recovery processes across the data platform.
  • • Improve pipeline architecture as workloads, data volumes, and business-critical use cases grow.
  • • ENABLE ANALYTICS AND AI USE CASES
  • • Partner with analysts and data scientists to deliver trusted, well-modeled, self-serve datasets in Hex.
  • • Integrate and operationalize AI and LLM-driven workflows within the data platform.
  • • Help internal teams move from ad-hoc data requests to scalable and reusable data products.
  • • POWER MARKETING ATTRIBUTION AND ACTIVATION
  • • Build marketing attribution models that improve visibility into campaign performance and customer conversion.
  • • Develop reverse ETL workflows that send accurate conversion data back to platforms such as Google Ads and Meta.
  • • Integrate external data sources, advertising APIs, and data vendors into reliable production pipelines.
  • • SET DATA PLATFORM STANDARDS
  • • Establish and enforce standards for data quality, testing, documentation, observability, and deployment.
  • • Optimize BigQuery workloads for query performance, scalability, and cost efficiency.
  • • Contribute to data architecture decisions, mentor future hires, and help shape the technical direction of the data engineering function.

🎯 Requirements

  • • MUST-HAVES
  • • Advanced SQL: You have strong SQL skills and hands-on experience building production-grade data pipelines.
  • • dbt and BigQuery: You have production experience designing, maintaining, and optimizing data workflows using dbt and BigQuery.
  • • Data orchestration: You have used Dagster or a comparable tool such as Airflow or Prefect to orchestrate reliable production workflows.
  • • Python: You are comfortable using Python to build pipelines, automate processes, and develop data engineering tools.
  • • Data modeling: You understand dimensional modeling, ELT patterns, and how to design datasets for reliability, usability, and scale.
  • • Git and CI/CD: You have experience applying version control, automated testing, and deployment practices to data workflows.
  • • AI mindset: You are comfortable working in an AI-driven environment and are interested in applying LLMs to real data problems.
  • • NICE-TO-HAVES
  • • Analytics tooling: You have experience with Hex or a similar notebook or BI tool such as Looker, Mode, or Tableau.
  • • AI-powered data applications: You have integrated LLM APIs or built data products and workflows powered by AI.
  • • Advanced Dagster: You have hands-on experience with Dagster assets, sensors, partitions, and production deployment patterns.
  • • Real-time data: You have worked with streaming technologies such as Pub/Sub, Kafka, or Dataflow.
  • • Data governance: You have experience implementing governance, access controls, lineage, or warehouse cost-management practices.
  • • Marketing data: You have built attribution models, worked with conversion APIs, or used reverse ETL tools such as Hightouch or Census.

🏖️ Benefits

  • • Competitive compensation – We offer fair and attractive pay.
  • • Ownership – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
  • • Work/life balance – We work hard but ensure you have time to recharge:
  • • Europe: 30 days of vacation, plus public holidays wherever you are.
  • • US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
  • • Health & wellness –
  • • Europe: We provide benefits according to local country norms.*
  • • US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
  • • Future planning –
  • • Europe: We provide pension contributions according to local country norms.*
  • • US: 401(k) retirement plan with a 4% employer match.
  • • Financial security –
  • • Europe: We provide benefits according to local country norms.*
  • • US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
  • • Career growth – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
  • • A passionate team – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
  • • Remote-first – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
  • • Giving back – We're big fans of open source, and you’ll get $100 per month to support projects you care about.
  • • AI enablement – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.
  • • Transparency – We all know what everyone’s working on, how the company is doing—the whole shebang.

Skills & Technologies

Python
GitHub
Git
Kafka
Senior
Remote

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About n8n GmbH

n8n GmbH provides open-source workflow automation software that enables technical teams to connect applications and APIs without writing extensive code. The Berlin-based company offers a fair-code licensed platform for building, deploying and monitoring integrations, ETL pipelines and business processes. It combines visual node-based editing with JavaScript flexibility, supports hundreds of pre-built integrations, and can be self-hosted or used via cloud. Founded in 2019, n8n serves developers, IT departments and digital agencies seeking cost-effective alternatives to proprietary automation tools.

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