Engineering Manager - Data Platform at N26
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
- 📊 6 Engineering Manager jobs in Germany in the last 60 days see them
- 🛂 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:
- Lead the transformation of the Data Platform team from service-oriented to product-oriented, prioritising automation, scalability and developer enablement.
- Define and drive the long-term technical strategy and roadmap aligned with AI/data use cases and regulatory constraints.
- Deliver tooling, guardrails and self-service interfaces to enable teams to use platform capabilities autonomously and safely.
- Build, coach and grow a high-performing cross-functional team; own performance management and career development.
- Act as primary liaison between Engineering, Product, Security and stakeholders to represent roadmap and priorities.
- Promote a culture of ownership, technical leadership and reliable platform delivery.
Requirements:
- Proven experience leading platform, infrastructure or ML engineering teams in complex or regulated environments.
- Strong understanding of cloud-native data architectures (AWS preferred), infrastructure-as-code and observability.
- Track record transforming teams, hiring and developing engineering talent and raising delivery maturity.
- Experience defining product-oriented platform roadmaps and enabling developer self-service.
- Excellent stakeholder management, strategic thinking and communication skills.
- Familiarity with MLOps, model deployment and compliance considerations is a plus.
Responsibilities
You will lead the transformation of the data platform team into a product-oriented group focused on automation, scalability, and developer enablement. You are responsible for defining the long-term technical strategy, managing team performance, and ensuring the platform supports advanced data and AI use cases.
Requirements
The ideal candidate has proven experience leading engineering teams in platform, infrastructure, or machine learning contexts within complex environments. You must possess strong knowledge of data platform architectures, cloud-native services, and the ability to influence team culture and strategy.
Key skills
- Engineering management — in 71 other listings on The Stack
- Data platform architecture — in 4 other listings on The Stack
- Platform engineering — in 65 other listings on The Stack
- Cloud computing — in 46 other listings on The Stack
- AWS — in 802 other listings on The Stack
- MLOps — in 72 other listings on The Stack
- Data strategy — in 10 other listings on The Stack
- Infrastructure as code — in 273 other listings on The Stack
- Observability
- Performance management
- Stakeholder management
- Team leadership
- AI/ML workflows
- Automation
- Strategic planning
- Technical leadership
On The Stack (as of 2026-11-05)
Frequently asked questions about N26
Is this Engineering Manager - Data Platform role still open?
It was posted on 2026-11-04 and is listed as active on The Stack. Confirm on N26's application page 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: Engineering management, Data platform architecture, Platform engineering, Cloud computing, AWS, MLOps, Data strategy, Infrastructure as code, Observability, Performance management, Stakeholder management, Team leadership, AI/ML workflows, Automation, Strategic planning, Technical leadership.