Senior Data Engineer at n8n
May no longer be active — verify on the employer site
At a glance
- Company
- n8n
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this n8n job
- 🏢 n8n has 23 jobs here, 21 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask n8n if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
Apply with your AI assistant
With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.
Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/senior-data-engineer-n8n
Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "senior-data-engineer-n8n": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
About the role
Responsibilities:
- Design, build and own end-to-end data pipelines and dbt transformations on BigQuery to power analytics, AI and growth use cases.
- Orchestrate and operate workflows with Dagster; implement monitoring, testing, alerting and recovery for reliable pipelines.
- Improve pipeline performance, maintainability and observability as volumes and business needs grow.
- Partner with analysts and data scientists to deliver well-modeled, self-serve datasets and operationalize AI/LLM workflows.
- Build marketing attribution models and reverse ETL flows to send trusted conversion data back to ads/platforms; integrate external APIs and vendors.
- Establish platform standards for data quality, testing, documentation and governance.
Requirements:
- Strong production experience with SQL, dbt and BigQuery and a solid background in dimensional/data modeling.
- Proficient in Python and modern orchestration tools (Dagster, Airflow or equivalent) and CI/CD practices for data workloads.
- Experience building observability, testing and recovery processes for data pipelines and integrating AI/LLM workflows.
- Familiarity with reverse ETL, marketing attribution, API integrations and tools for activation (e.g., Hightouch/Census) is a plus.
- Collaborative mindset, ownership of complex systems and experience shipping reliable data products to stakeholders.
Responsibilities
Build and scale reliable data infrastructure and end-to-end pipelines using dbt and BigQuery to power analytics and AI-driven decision-making. Orchestrate workflows with Dagster and develop marketing attribution models and reverse ETL workflows.
Requirements
Requires advanced SQL, Python, and production experience with dbt, BigQuery, and data orchestration tools like Dagster or Airflow. Candidates must be proficient in dimensional modeling, Git/CI/CD practices, and have an AI-driven mindset.
Key skills
- SQL — in 545 other listings on The Stack
- dbt — in 102 other listings on The Stack
- BigQuery — in 60 other listings on The Stack
- Dagster — in 12 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Data Modeling — in 184 other listings on The Stack
- Git — in 217 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- ELT
- Reverse ETL
- Data Orchestration
- Dimensional Modeling
- AI/LLM Integration
- Data Pipeline Design
- Marketing Attribution
- Data Governance
On The Stack (as of 2026-11-05)
Frequently asked questions about n8n
Is this Senior Data Engineer role still open?
It was posted on 2026-07-20. Listings more than 30 days old may no longer be active, so check n8n's site before applying.
Does n8n offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on n8n's site.
Where is this role located?
The listing gives the location as Germany. It is marked on-site.
What skills does this role ask for?
The listing names: SQL, dbt, BigQuery, Dagster, Python, Data Modeling, Git, CI/CD, ELT, Reverse ETL, Data Orchestration, Dimensional Modeling, AI/LLM Integration, Data Pipeline Design, Marketing Attribution, Data Governance.