Engineering manager in data platform

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.

• 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.

• 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.
• Будет плюсом: 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; with an understanding of regulatory constraints as a plus

• 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.