Marketing Analytics Engineer at N26
May no longer be active — verify on the employer site
At a glance
- Company
- N26
- Location
- Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this N26 job
- 🏢 N26 has 139 jobs here, 136 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask N26 if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design and maintain clean, centralized data models to support marketing analytics and self-serve reporting.
- Develop and maintain ETL/ELT pipelines and transformations using tools like Airflow, dbt and Fivetran.
- Build reliable, tested data products using software engineering best practices (version control, CI, testing, docs).
- Troubleshoot pipeline failures and implement sustainable fixes to ensure data availability and system uptime.
- Build and support BI models and dashboards in Metabase/Tableau/Looker for consistent reporting.
- Collaborate with marketing, data scientists and analysts to align data models with campaign and business goals.
- Identify and implement workflow improvements to increase analyst productivity and reduce manual effort.
Requirements:
- Bachelor's or Master's in CS, Data Science, Statistics or related field.
- 2+ years experience as an Analytics/Data Engineer or Software Engineer, ideally in marketing or martech.
- Strong SQL and familiarity with Python for automation and data manipulation.
- Hands-on experience with ETL/ELT tooling and data warehousing architectures.
- Experience with BI tools (Metabase, Tableau, Looker) and strong business acumen.
- Good communication, collaboration and problem-solving skills; comfortable working across teams.
Responsibilities
Design and maintain scalable data pipelines and clean data models to provide a reliable source for marketing analytics. Collaborate with data scientists and stakeholders to optimize marketing programs and improve BI infrastructure.
Requirements
Requires a degree in Computer Science, Data Science, or Statistics with at least 2 years of experience in analytics or data engineering. Proficiency in SQL, Python, and ETL tools like dbt and Airflow is essential.
Key skills
- Sql — in 545 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Etl/Elt — in 20 other listings on The Stack
- Dbt — in 102 other listings on The Stack
- Airflow — in 95 other listings on The Stack
- Fivetran — in 1 other listing on The Stack
- Data Modeling — in 184 other listings on The Stack
- Data Warehousing — in 56 other listings on The Stack
- Metabase
- Tableau
- Looker
- Software Engineering Best Practices
- Version Control
- Continuous Integration
- Data Pipeline Development
- Business Acumen
On The Stack (as of 2026-11-05)
Frequently asked questions about N26
Is this Marketing Analytics Engineer role still open?
It was posted on 2026-07-17. 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: Sql, Python, Etl/Elt, Dbt, Airflow, Fivetran, Data Modeling, Data Warehousing, Metabase, Tableau, Looker, Software Engineering Best Practices, Version Control, Continuous Integration, Data Pipeline Development, Business Acumen.