Engineering Manager - Data Platform at N26
At a glance
- Company
- N26
- Location
- Spain
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 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
- 📊 3 Engineering Manager jobs in Spain in the last 60 days see them
- 🛂 Visa: Highly Qualified Professional permit. Education: Higher education degree 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:
- Define and drive the team’s long-term strategy and roadmap to transform from a service model to a product-oriented data platform.
- Build and scale a cross-functional, high-performing team: hire, coach, run one-to-ones, and manage performance.
- Deliver platform capabilities that enable other teams to use data and AI safely and autonomously (tooling, guardrails, well-defined interfaces).
- Own execution, organizational design and end-to-end delivery for the team’s scope.
- Collaborate with Engineering, Product, Security and compliance stakeholders to align roadmap with AI/ML use cases and regulatory constraints.
- Improve platform reliability, automation, observability, and secure-by-default practices; promote infrastructure-as-code and scalable ownership models.
Requirements:
- Proven experience leading platform, infrastructure or ML engineering teams and driving team transformations.
- Deep understanding of data platform architecture, cloud-native services and public cloud (AWS preferred).
- Hands-on familiarity with MLOps/AI platforms, model training/deployment pipelines and feature store concepts.
- Experience with automation, observability, IaC, security-by-default design and operating in regulated environments.
- Strong people-management skills: coaching, performance management, hiring and organizational design.
- Excellent stakeholder communication and strategic planning skills; professional English required.
Responsibilities
Lead the Data Platform team’s transformation into an autonomous, product-oriented platform team, setting its strategy, roadmap, and organizational design. Build and develop a high-performing team that delivers scalable, reliable, and compliant platform capabilities, while enabling other teams to use them safely and independently.
Requirements
Candidates should have proven experience leading and transforming engineering teams in platform, infrastructure, or machine learning engineering, along with a strong understanding of data platform architecture and cloud environments. They should bring people-management, strategic planning, and stakeholder communication skills; experience with AWS, MLOps, AI/ML platforms, and regulated environments is advantageous, and professional proficiency in English is required.
Key skills
- Engineering Leadership — in 9 other listings on The Stack
- People and Performance Management — not in any other listing on The Stack
- Data Platform Architecture — in 4 other listings on The Stack
- Platform Engineering — in 65 other listings on The Stack
- Public Cloud — not in any other listing on The Stack
- AWS — in 802 other listings on The Stack
- Cloud-Native Services — in 1 other listing on The Stack
- Machine Learning — in 291 other listings on The Stack
- MLOps
- Automation
- Observability
- Infrastructure as Code
- Secure-by-Default Design
- AI/ML Platforms
- Stakeholder Management
- Strategic Planning
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 Spain. It is marked on-site.
What skills does this role ask for?
The listing names: Engineering Leadership, People and Performance Management, Data Platform Architecture, Platform Engineering, Public Cloud, AWS, Cloud-Native Services, Machine Learning, MLOps, Automation, Observability, Infrastructure as Code, Secure-by-Default Design, AI/ML Platforms, Stakeholder Management, Strategic Planning.