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

Meyandy LLC; Germany (OH); On-site; USD 104,000 - 173,000; Full time

Job summary

Statista is hiring an Engineering Manager for Data & Content Delivery in Hamburg or Berlin. You will lead a cross-functional team of data, infra, and backend engineers, shaping a governance-driven data platform. Collaborate with product and data stakeholders to drive a clear roadmap, ensure data integrity, and deliver scalable APIs.

You will own data distribution, contribute to the data catalogue, and mentor senior engineers while guiding architectural decisions and leveraging AWS tools.

Qualifications

• 3+ years of experience leading cross-functional, product-oriented engineering teams.
• Backend development with Java or Python; relational and NoSQL databases.
• Experience with data warehouse technologies and ETL pipelines; governance.
• Strong understanding of distributed systems and microservices architectures.
• Familiarity with Data Governance tools, data catalogs, and schema contracts.
• Excellent communication and collaboration with senior engineers and product teams.
• Experience building applications on AWS.

Responsibilities

• Lead a cross-functional team of data, infrastructure, and backend engineers.
• Collaborate with Product, Data Production, and internal customers to define a roadmap.
• Guide architectural decisions and build a central data distribution layer.
• Own data integrity and establish a data catalogue across the organization.
• Partner with data engineers and architects to develop scalable interfaces and APIs.

Skills

Leadership

Backend (Java/Python)

Databases

ETL pipelines

Data governance

AWS

Distributed systems

Tools

Kafka

Redpanda

Confluent

Job description

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?

Engineering Manager - Data & Content Delivery (m/f/d) — Statista, Hamburg or Berlin.

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 da…

Mots‑clés: Tech.