Data Engineer

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.

Why join us?

At n8n, you’ll have the opportunity to own a modern, AI-forward data stack at a company where data is becoming increasingly central to how we build products, allocate investment, and make decisions. Your work will directly improve the reliability of our analytics, unlock new AI use cases, and strengthen the feedback loops that help us scale efficiently.

You’ll join at a stage where the foundations are in place, but many of the most important architectural decisions are still ahead. You’ll have high autonomy, strong visibility across the company, and the opportunity to become a recognized technical owner of our data platform as the team grows.

You’ll work in a remote-first environment that values experimentation, thoughtful engineering, and people who take ownership from problem definition through to production.

Sound like a challenge you’re excited to take on?

Apply now - and help us build the data infrastructure behind the future of automation.