OverviewAs Engineering Manager, you will lead a Data Platform team undergoing a shift from a service-oriented model to a product-oriented platform.

You drive long-term technical and organizational strategy to enable scalable, autonomous ownership of platform capabilities across the company.

You will shape a high-impact, compliant platform that empowers development teams and supports AI-enabled data products.

This role offers influence over how data and AI capabilities are built, operated, and scaled across the organization.

Join a fast-growing disruptor and help define the future of our data platform.

Compensaciones / Beneficioscompetitive personal development budget work from home budget discounts to fitness & wellness memberships language apps public transportation

Premium subscription for personal N26 account

ResponsabilidadesDefine and drive the strategic evolution of the team toward a modern, scalable data platform for AI use cases

Enable development teams with robust tooling, guardrails, and clear interfaces to leverage platform capabilities autonomously

Develop a long-term roadmap aligning data platform work with product needs, AI use cases, and regulatory constraints

Build and grow a high-performing, cross-functional team delivering reliable, scalable, and compliant solutions

Shape and nurture team culture with initiative, technical leadership, and shared ownership

Coach engineers across data, infrastructure,



and platform engineering while raising delivery standards

Lead performance management to push the team toward greater autonomy and impact

Act as a key liaison between Engineering, Product, Security, and other stakeholders to align roadmaps and priorities

Requisitos principalesProven experience leading high-impact engineering teams in Platform, Infrastructure, SRE, or DevOps within regulated, complex environments

Track record of transforming teams to support long-term strategic goals

Experience with public cloud providers, ideally AWS, and understanding of cloud-native data architecture and operations

Strong understanding of data platform architectures and scale considerations

Familiarity with platform engineering practices: automation, observability, IaC, and secure-by-default design

Strong leadership in people management and performance coaching with ability to influence culture

Ability to navigate complex environments balancing speed, reliability, and risk, with awareness of regulatory constraints

Excellent communication and stakeholder management to align engineering, product, and business

Strategic thinker capable of turning vision into actionable plans

Full professional proficiency in English clear communication stakeholder management strategic thinking data platform architectures platform engineering automation

📌 Engineering Manager - Data Platform (Barcelona)
🏢 N26
📍 Barcelona