# Engineering Manager - Data Platform at N26

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Define and drive the team’s long-term st

- **Company:** N26 (https://jobs.trythestack.co/companies/n26)
- **Location:** Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** 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
- **Posted by employer:** 2026-11-04
- **Added to The Stack:** 2026-11-05
- **Listed until:** 2027-01-03
- **Status:** Active
- **Apply:** https://n26.com/en-eu/careers/positions/7841923?gh_jid=7841923 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/engineering-manager-data-platform-n26-6e563339

## 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.

## FAQ

- **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.

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## About The Stack

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## Notes for agents

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