About the Role
We are seeking an experienced and visionary Engineering Manager to lead one of our Data Platform teams, currently undergoing a fundamental transformation from a traditional, service-oriented model into a product-oriented platform team focused on automation, scalability, integration, and developer enablement. As Engineering Manager, you will play a pivotal role in accelerating this transition, guiding the team through a challenging but high-potential journey.
Responsibilities
•Define and drive the strategic evolution of the team towards building a modern, scalable data platform that enables advanced data and AI use cases by default, without requiring bespoke solutions or direct platform team involvement
•Enable development teams to safely and autonomously leverage data and platform capabilities through robust tooling, guardrails, and well-defined interfaces
•Establish a long-term roadmap that aligns data platform capabilities with emerging AI use cases, product needs, and regulatory constraints
•Build and grow a high-performing, cross-functional team capable of delivering reliable, scalable, and compliant platform solutions
•Shape the team's culture by promoting initiative, critical thinking, technical leadership, and shared responsibility across the platform
•Coach and develop engineers to strengthen their skills across data, infrastructure, and platform engineering, while raising the bar on ownership and delivery
•Take a proactive role in performance management, ensuring the team continuously evolves towards autonomy, maturity, and impact
•Act as a key liaison between Engineering, Product, Security, and other stakeholders to represent the team's roadmap and priorities
Requirements
•Proven experience leading high-impact engineering teams in a Platform, Infrastructure, Machine Learning Engineering context, ideally within regulated, complex technical environments
•Strong track record in transforming teams, developing both skills and mindset to support long-term strategic goals
•Experience with public cloud providers, ideally AWS, and an understanding of how cloud-native services impact data architecture and operations
•Strong understanding of data platform architectures and the trade-offs involved in building and operating them at scale
•Familiarity with platform engineering principles and practices, including automation, observability, IaC, and secure-by-default design
•Strong leadership in people and performance management, with experience coaching engineers and influencing team culture
•Ability to navigate complex environments, balancing speed, reliability, and risk
•Excellent communication and stakeholder management skills; able to create alignment across engineering, product, and business
•Strategic thinker with the ability to translate long-term vision into clear plans and team evolution
•Full professional proficiency in English
Nice to Have
•Prior exposure to or working knowledge of Machine Learning workflows or MLOps lifecycles is a definite plus, though not required
•Previous experience with AI/ML platform concepts (e.g., feature stores, model deployment patterns, model training pipelines) to effectively empathize with and support AI/ML stakeholder teams is advantageous
•An understanding of regulatory constraints as a plus
Benefits
•Accelerate your career growth by joining one of Europe's most talked about disruptors
•Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation
•As an N26 employee you will have access to a Premium subscription on your personal N26 bank account, as well as subscriptions for friends and family members
•Vacation days vary depending on your location of work
•Additional day of annual leave for each year of service
•The opportunity to work on a data platform that enables real AI use cases at scale, with space to innovate and shape how these capabilities are built and adopted across the company
•A relocation package with visa support for those who need it
