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

Statista Inc.; Hamburg; Hybrid; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Work from abroad 30 days/yr

Hybrid work and flex-time

International team events

Mobility & wellness subsidies

Langdock access

Career & training opportunities

Modern offices

OpenUp mental health support

Zusammenfassung

Statista Inc. in Hamburg is seeking an Engineering Manager to lead a cross-functional team of data and software engineers responsible for Data and Content Delivery, a key enabler of our web platform and Data-as-a-Service initiatives.

In collaboration with a Product Manager, you will shape the roadmap, drive data integrity, and build scalable, cost-efficient solutions while mentoring engineers and aligning with stakeholders across the organization.

Qualifikationen

• 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 migrating away from legacy pipelines toward governed data delivery.
• Strong understanding of distributed system design, particularly microservice architectures, with hands-on experience building event-driven distribution systems.
• 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.
• Familiarity with building applications and infrastructure on AWS.

Aufgaben

• Lead a team of senior data, infrastructure and backend engineers.
• Collaborate with Product, Data Production and internal customers to define roadmap with alignment on metadata, taxonomy and data format standards.
• Drive the build-out of a central data distribution layer and governance, replacing legacy pipelines.
• Own data integrity and establish a Data Catalogue for trustable data across the organization.
• Develop scalable internal interfaces and APIs in partnership with data engineers and architects.

Kenntnisse

Engineering leadership

Backend development (Java/Python)

Databases (Relational/NoSQL)

Data warehouse & ETL

Distributed systems (microservices)

Data governance & catalogues

Communication & collaboration

AWS

Tools

Kafka/Redpanda/Confluent

AWS

Jobbeschreibung

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.