Engineering Manager - Data Platform

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. You will have end to end ownership of the team's scope, including strategy, execution, and organizational design.

What you'll do

• 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
• 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

What you'll need

• Proven experience leading high-impact engineering teams in a Platform, Infrastructure, SRE, or DevOps 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
• 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
• Full professional proficiency in English

What they offer

• Competitive personal development budget, work from home budget, discounts to fitness and wellness memberships, language apps, and public transportation
• Premium N26 bank account subscription, plus subscriptions for friends and family members
• Additional day of annual leave for each year of service
• Relocation package with visa support for those who need it