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N26

Mobile-first digital bank with real-time payments

Engineering Manager - Data Platform

Engineering LeadershipUpdated on Nov 12
Full-timeBarcelona, SpainNo salary listedIn-person

About the Job

Requirements

  • Proven experience leading high-impact engineering teams in a Platform, Infrastructure, or Machine Learning Engineering context, ideally in regulated, complex technical environments.
  • A strong track record of transforming teams and developing skills and mindsets to support long-term strategic goals.
  • Experience with public cloud providers, ideally AWS, and understanding of how cloud-native services affect data architecture and operations.
  • A 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, infrastructure as code, and secure-by-default design.
  • Strong people and performance management skills, including experience coaching engineers and influencing team culture.
  • Ability to navigate complex environments and balance speed, reliability, and risk.
  • Excellent communication and stakeholder management skills, with the ability to create alignment across engineering, product, and business.
  • Ability to translate long-term vision into clear plans and team evolution.
  • Full professional proficiency in English.

Responsibilities

  • Define and drive the team’s strategic evolution toward a modern, scalable data platform that enables advanced data and AI use cases by default without bespoke solutions or direct platform-team involvement.
  • Enable development teams to use data and platform capabilities safely and autonomously 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 that delivers 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 across data, infrastructure, and platform engineering, strengthening their skills and raising the bar on ownership and delivery.
  • Proactively manage performance to help the team evolve toward autonomy, maturity, and impact.
  • Liaise with Engineering, Product, Security, and other stakeholders to represent the team’s roadmap and priorities.
  • Take end-to-end ownership of the team’s scope, including strategy, execution, and organizational design.

Desired Qualifications

  • Prior exposure to or working knowledge of machine learning workflows or MLOps lifecycles.
  • Experience with AI/ML platform concepts such as feature stores, model deployment patterns, model training pipelines, and generative AI.
  • Understanding of regulatory constraints.

About the Company

N26

Mobile-first digital bank with real-time payments

N26 provides real-time digital banking services for individuals and businesses, with accounts, payment solutions, and mobile access. It operates primarily in Europe and the United States, offering standard and premium consumer accounts as well as business accounts, plus payment options like Mastercard, Apple Pay, and Google Pay. The platform supports instant payments, automatic transaction notifications, and savings management via Spaces, a feature for setting and tracking savings goals. Revenue comes from subscription fees for premium accounts, card interchange fees, and partnerships with other financial providers. The goal is to offer a flexible, mobile-first banking experience that helps tech-savvy users and small businesses manage money on the go.

Company size
1,001-5,000
Company stage
Series E
Total funding
$1.7B
Headquarters
Berlin, Germany
Founded
2013

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