Engineering manager in data platform

N26; Deutschland; On-site; EUR 140,000 - 210,000; Full time

Benefits offered by this job

Competitive personal development预算

Work from home budget

Discounts to fitness & wellness

Language apps

Public transportation

Premium N26 account for employee

Subscriptions for friends and family

Job summary

N26 Inc. is seeking an experienced Engineering Manager to lead one of its Data Platform teams as it pivots from a service-oriented model to a product-oriented platform business. The role focuses on automation, scalability, integration, and developer enablement to accelerate AI-ready data capabilities.

You will define the team's strategic direction, build robust tooling and interfaces, and coach engineers toward greater ownership while aligning with regulatory demands and business goals.

Qualifications

• Experience leading engineering teams in platform or infra contexts.
• Track record transforming teams to product-oriented platforms.
• Experience with regulated environments is a plus.
• Strong English communication with stakeholders.

Responsibilities

• Define the strategic evolution of the data platform team.
• Enable autonomous use of data/platform capabilities via tooling and interfaces.
• Build a long-term roadmap aligning with AI use cases and compliance.
• Grow a cross-functional, high-performing team.
• Coach engineers to raise ownership and delivery maturity.
• Represent roadmap to Engineering, Product, Security, and other stakeholders.

Skills

Platform engineering leadership

People management

Cloud computing (AWS)

Data platform architecture

IaC (Terraform)

Observability & SRE

Stakeholder management

English proficiency

Tools

AWS

Terraform

Kubernetes

Job description

Описание:

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.

Задачи:

• 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

Требования:

• 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

Условия:

• 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