Senior 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
- 5–10 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:
- Own and operate core dbt services: CI/CD pipelines, performance optimization, runtime configuration, and quality enforcement.
- Serve as the engineering partner to analytics teams: review patterns, improve project structure, and elevate SQL and model quality.
- Develop data quality and governance capabilities: anomaly detection, freshness checks, drift detection, and contract enforcement.
- Promote data product thinking and governance across the data mesh; define standards for ownership and contracts.
- Contribute to Python tooling and observability utilities: write maintainable, tested code used by practitioners.
- Collaborate with data platform engineers to align tooling and infrastructure decisions with analytics needs.
Requirements:
- Excellent problem-solving and debugging skills; able to scope issues and prioritize durable fixes.
- Strong Python (typed, tested) and advanced SQL skills, including query tuning and plan reasoning.
- Practical experience running dbt at scale: macros, hooks, incremental models, and CI/CD integrations.
- Demonstrable impact improving reliability, quality, or productivity in a data organisation.
- Community-focused: able to mentor, influence without formal authority, and promote best practices.
- Comfortable collaborating across platform, analytics, and product teams to deliver scalable solutions.
Responsibilities
You will own and evolve core dbt services, maintaining CI/CD infrastructure and driving performance improvements. Additionally, you will act as an engineering interface for the analytics community to improve data quality, governance, and shared tooling.
Requirements
The ideal candidate has strong Python and SQL skills with extensive experience managing dbt at scale. You should have a proven track record of improving data reliability and productivity while effectively influencing cross-functional teams.
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- dbt — in 102 other listings on The Stack
- CI/CD — in 630 other listings on The Stack
- Data modeling — in 184 other listings on The Stack
- Data governance — in 90 other listings on The Stack
- Data warehouse — in 5 other listings on The Stack
- Lakehouse — in 1 other listing on The Stack
- Data quality
- Anomaly detection
- Data mesh
- Performance tuning
- Observability
- Data engineering
- Analytics engineering
On The Stack (as of 2026-11-05)
Frequently asked questions about N26
Is this Senior Analytics Engineer role still open?
It was posted on 2026-09-18. 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: Python, SQL, dbt, CI/CD, Data modeling, Data governance, Data warehouse, Lakehouse, Data quality, Anomaly detection, Data mesh, Performance tuning, Observability, Data engineering, Analytics engineering.