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 (España)
🏢 N26
📍 España