# Marketing Analytics Engineer (dbt) at N26

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and maintain production dbt data

- **Company:** N26 (https://jobs.trythestack.co/companies/n26)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Dbt, SQL, Python, Data modeling, AWS, Redshift, Metabase, ETL, ELT, Data pipelines, Data visualization, Software engineering, Version control, Continuous integration, Business intelligence, Data literacy
- **Posted by employer:** 2026-08-05
- **Added to The Stack:** 2026-08-06
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://n26.com/en-eu/careers/positions/7962721?gh_jid=7962721 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/marketing-analytics-engineer-dbt-n26

## About the role

Responsibilities:
- Design and maintain production dbt data models to create a single source of truth for marketing data
- Build robust data products and transformations using version control, CI, testing and documentation
- Develop and maintain data pipelines into the Redshift warehouse and support BI layers (Metabase/QuickSight)
- Diagnose and resolve issues in ETL/ELT flows to preserve data quality for analytics and ML models
- Improve analyst workflows by creating reusable models and self-service layers that save time
- Collaborate with marketing, data scientists and analysts on schema, instrumentation and reporting needs

Requirements:
- Bachelor’s or Master’s in Computer Science, Data Science, Statistics or related quantitative field
- 2+ years experience as an Analytics Engineer, Data Engineer or Software Engineer working with marketing/growth data
- Proven expertise in dbt, strong SQL skills and familiarity with Python for automation
- Experience with ETL/ELT tools and data warehousing (Redshift preferred) and BI tools (Metabase, Tableau, Looker)
- Comfortable with software engineering best practices: version control, CI, testing and documentation
- Strong communication skills and ability to translate business needs into reliable data models

## Responsibilities

You will design and maintain clean data models in dbt to serve as a single source of truth for marketing data. Additionally, you will build scalable data products and optimize workflows to empower analysts and business leaders with self-service data capabilities.

## Requirements

Candidates must have a bachelor's or master's degree in a quantitative field and at least 2 years of experience in analytics or data engineering. Proficiency in SQL, dbt, and Python is required, along with strong business acumen and communication skills.

## FAQ

- **Is this Marketing Analytics Engineer (dbt) role still open?** It was posted on 2026-08-05. Listings more than 30 days old may no longer be active, so check N26's site before applying.
- **Does N26 offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on N26'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: Dbt, SQL, Python, Data modeling, AWS, Redshift, Metabase, ETL, ELT, Data pipelines, Data visualization, Software engineering, Version control, Continuous integration, Business intelligence, Data literacy.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://n26.com/en-eu/careers/positions/7962721?gh_jid=7962721). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "marketing-analytics-engineer-dbt-n26": 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.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Marketing Analytics Engineer (dbt) at N26, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/marketing-analytics-engineer-dbt-n26)".
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