Statista

Engineering Manager - Data & Content Delivery (m/f/d)

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?

Your Job
As an Engineering Manager with a hands-on mindset, you will lead a cross-functional team of data and software engineers responsible for Statista's Data and Content Delivery domain - a key enabler of the existing Statista web platform and the growing Data-as-a-Service business. In close collaboration with a Product Manager, you'll be responsible for the single source of truth of Statista's data treasure and implement use cases of other engineering teams and data engineers. Together, you’ll shape the roadmap, empower the team, and deliver high-quality, scalable, and cost-efficient solutions.
 
What you'll do:
Lead a team of senior data, infrastructure and backend engineers creating a supportive environment where people can grow and do their best work

Collaborate closely with Product, Data Production, and key internal customers to define and deliver on a clear vision and roadmap with shared alignment on metadata, taxonomy requirements, and data format standards

Support the team in architectural and technical decision-making, while not being expected to contribute code regularly - today that means driving the build-out of a governed, central data distribution layer that replaces the current mix workarounds and legacy pipelines

Own data integrity and discoverability end-to-end. You'll establish monitoring across the full value chain and drive a continuously updated Data Catalogue that makes data trustworthy and discoverable across the organization, resolving terminology conflicts between product and data teams through a single source of truth

Build strong relationships with internal stakeholders and partner with data engineers and architects to develop scalable internal interfaces and APIs - including close collaboration with the Discovery & Usage and API & Ecosystems clusters to align on baseline targets for workaround reduction

 
Your Skills
3+ years of experience leading cross-functional, product-oriented engineering teams

Solid grasp of backend development, ideally with Java or Python, and both relational and NoSQL databases

Solid understanding of data warehouse technologies and ETL pipelines — including experience migrating away from legacy, bespoke pipelines toward governed, self-serve data delivery platforms

Strong understanding of distributed system design, particularly microservice architectures — with hands-on experience building event-driven, fan-out distribution systems (Kafka, Redpanda, Confluent)

Familiarity with Data Governance Tools, Processes and Practices incl. data catalogues, Schema versioning, data contracts, and schema registry patterns

Excellent communication skills and a collaborative mindset - you build strong relationships with senior engineers, product peers, other engineering managers, and various stakeholders

Familiarity with building applications and infrastructure on AWS

 

What we offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
Work from abroad up to 30 calendar days a year

Hybrid work and flex-time

International team and social events

Subsidized urban mobility and access to fitness and wellness options

Free access to Langdock and all its amazing functionalities

Career & training opportunities

Attractive locations and modern offices

Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Find Jobs in Germany on Arbeitnow

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Data Analysis Python Writing remote

Likely questions

  1. Tell us about work you have done that is close to the Engineering Manager - Data & Content Delivery (m/f/d) role.
  2. How would you approach your first 30 days at Statista?
  3. Which of API integration, Data Analysis and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Engineering Manager - Data & Content Delivery (m/f/d) role because I can bring practical experience in API integration, Data Analysis and Python, learn the team quickly, and contribute to the outcomes Statista needs from this hire.

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