Marketing Analytics Engineer (dbt) 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
- Added to The Stack
✨ 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 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.
Key skills
- Dbt — in 102 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Data modeling — in 184 other listings on The Stack
- AWS — in 802 other listings on The Stack
- Redshift — in 14 other listings on The Stack
- Metabase — in 22 other listings on The Stack
- ETL — in 40 other listings on The Stack
- ELT
- Data pipelines
- Data visualization
- Software engineering
- Version control
- Continuous integration
- Business intelligence
- Data literacy
On The Stack (as of 2026-11-05)
Frequently asked questions about N26
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.