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Engineering Manager - Data Platform
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll bring
All qualificationsCore experience
- 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.
- Excellent communication and stakeholder management skills; able to create alignment across engineering, product, and business.
Preferred experience
- Ability to navigate complex environments, balancing speed, reliability, and risk, with an understanding of regulatory constraints as a plus.
Qualification wording
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.
Excellent communication and stakeholder management skills; able to create alignment across engineering, product, and business.
Ability to navigate complex environments, balancing speed, reliability, and risk, with an understanding of regulatory constraints as a plus.
About N26
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 9, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
N26 is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- AWS
Where the posting names them
- 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. - Prior exposure to or working knowledge of Machine Learning workflows or MLOps lifecycles is a definite plus, though not required.
Your next step
Complete your application on n26.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has N26 posted this job before?
Yes. We’ve followed one other Engineering Manager - Data Platform job there since November 2026. It is still up.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
About the opportunity
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.
You will be responsible for shaping and executing long-term technical and organizational strategies that enable scalable ownership models across the company, allowing teams to safely and autonomously leverage platform capabilities. Your leadership will be key to evolving a team with strong operational foundations into a high-impact, autonomous group of engineers who deliver reliable and compliant platform solutions, empower development teams, and contribute to the broader platform ecosystem. You will have end to end ownership of the team’s scope, including strategy, execution, and organizational design.This role is an opportunity to shape the future of our Data Platform, defining how teams across the company build, operate, and scale data and AI-driven products in a compliant and reliable way.
In this role, you will:
- 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.
What you need to be successful
Background
- 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.
- Prior exposure to or working knowledge of Machine Learning workflows or MLOps lifecycles is a definite plus, though not required.
Skills
- 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.
- Previous experience with AI/ML platform concepts (e.g., feature stores, model deployment patterns, model training pipelines, generative AI) to effectively empathize with and support AI/ML stakeholder teams is advantageous.
- 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, with an understanding of regulatory constraints as a plus.
- 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.
What’s in it for you
- 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.
Who we are:
N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use.
We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.
Founded in 2013, N26 now has more than 8 million customers in 24 markets. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.
Equal Opportunities:
We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.
We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com.
Visit our website to learn more about Diversity, Equity, & Inclusion at N26.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- 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. Who we are: