Data Engineer (f/m/d)

DKSR - Data Competence Center for Cities & Regions; Berlin; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Job Ticket/Bike

Weiterbildungsbudget

30 Urlaubstage

Corporate Benefits

Urban Sports Club Finanzierung

Offene Feedback-Kultur

Teamgeist und Unterstützung

Flexibles Arbeitsumfeld

Zusammenfassung

DKSR - Data Competence Center for Cities & Regions in Berlin sucht eine/n engagierte/n Data Engineer, um gemeinsam eine Streaming-Dateninfrastruktur für Städte und Regionen aufzubauen. Sie arbeiten eng mit dem Data Architect zusammen, setzen Konzepte in produktionsreife Systeme um und unterstützen bei anspruchsvollen Use Cases.

Sie verfügen über 1–3 Jahre Erfahrung in Data Engineering, haben einen Abschluss in Informatik oder vergleichbar und beherrschen Python, SQL sowie Airflow und Kafka.

Qualifikationen

• 1–3 Jahre relevante Erfahrung in Data Engineering und Softwareentwicklung.
• Abgeschlossenes Studium in Informatik, Data Science, Data Engineering o.ä. (M.Sc. bevorzugt).
• Ausgeprägte Python- und SQL-Kenntnisse, Erfahrung mit Airflow, Kafka, Docker und Cloud/IaC.
• Englisch sicher in Wort und Schrift; teamorientierte Kommunikation.
• Eigenständiges Arbeiten, gute Problemlösungsfähigkeiten und Lernbereitschaft.

Aufgaben

• Mitwirken beim Aufbau der Infrastruktur von CIVORA, vom Baustein bis zur internen Tooling-Entwicklung.
• Zusammenarbeit mit Product- und Delivery-Teams zur skalierbaren Dateninfrastruktur.
• Entwerfen und Warten von batch- und streaming-Daten-Pipelines für mehrere Städte.
• Unterstützung bei komplexen Use Cases und Festlegung von Best Practices.
• Schreiben von sauberen, wartbaren Codes und eigenverantwortliches Handeln.

Kenntnisse

Python

SQL

Apache Airflow

Kafka

Docker

Cloud

IaC

GitHub

English

Data pipelines

Ausbildung

B.Sc. in Computer Science

B.Sc. in Data Science

M.Sc. preferred

Tools

Apache Airflow

Docker

Kubernetes

Terraform

Helm

OpenTofu

GitHub

Jobbeschreibung

The Role

We are looking for a driven and motivated Data Engineer who wants to help us build the streaming data lakehouse of Germanys governments. At DKSR, we are building an urban data hub for cities and regions; helping them use their data more efficiently for the benefit of all. We currently operate our core product CIVORA for over 20 cities and regions, and we still have plenty of improvements and new developments in store.

Deine Aufgaben

The Role

We are looking for a driven and motivated Data Engineer who wants to help us build the streaming data lakehouse of Germanys governments. At DKSR, we are building an urban data hub for cities and regions; helping them use their data more efficiently for the benefit of all. We currently operate our core product CIVORA for over 20 cities and regions, and we still have plenty of improvements and new developments in store.

You will join the product development team to get hands-on with building and operating the data infrastructure that powers CIVORA. Working hand in hand with our Data Architect, you will bring concepts and blueprints into production-ready systems. You will also get the chance to support us on cutting-edge use cases; paving the path for the project delivery team and our most advanced users.

Please note: We are currently only considering candidates who already reside in Germany and are legally authorized to work in Germany. Unfortunately, we cannot provide visa sponsorship or relocation support for this position.

What You'll Do

• Contribute to the continued development of the data infrastructure that powers CIVORA - from platform components to internal tooling


• Collaborate with product and project delivery teams to shape a reusable, scalable and well-documented data infrastructure


• Design and maintain data pipelines (batch & streaming) that serve multiple cities and use cases


• Support the project delivery team on the most complex and mission-critical use cases - setting a track record of best practices and design patterns for all to learn from


• Write clean, maintainable code – you are as much a software engineer as a data engineer


• Propose and prototype new approaches; challenge existing patterns when you see a better way - you will be able to take ownership

Dein Profil

What You Bring

Must have:

• 1-3 years of relevant experience in data engineering and software development


• B.Sc. in Computer Science, Data Science, Data Engineering, or related field (M.Sc. preferred; equivalent professional experience also works)


• Python – data processing (pandas, NumPy, scikit-learn) as well as structured software development (modular design, clean APIs, testable code)


• SQL – understanding of relational database design and confident querying


• Pipeline orchestration – hands-on experience with Apache Airflow or similar


• Streaming systems – familiarity with the Kafka protocol or similar


• Docker – containerization as part of your daily workflow


• Cloud & IaC - working knowledge of cloud concepts and infrastructure-as-code principles (Helm, Terraform)


• English – comfortable in both spoken and written communication


• Communication – proactive team player and direct communicator


• Experience with agentic development (GitHub, CoPilot or Claude is enough, no need for crazy sub-agent workflows)

Nice to have:

• Kubernetes – experience with container orchestration and cluster operations


• Cloud platforms – hands-on with AWS, Azure, or GCP


• Additional languages – able to read and poke Java, JavaScript, Rust, or Go alongside Python


• Experience with parts of our stack – willingness to learn, understand, and operate matters more than ticking every box:


• Infra & deployment: Helm, OpenTofu (Terraform), MinIO/SeaweedFS


• Data & analytics: Apache Superset, Apache Iceberg (Lakekeeper catalog), Redpanda (Redpanda Connect, Kafka Connect), Trino, MLFlow


• German – not required, but highly valuable for external stakeholder communication

Who You Are

You don't just want to write code – you want to understand the business problem, refine the requirements, design the system and you want it to matter. You're the kind of person who'll dig into a problem, propose a solution, and then actually build it and deliver it end-to-end. You're comfortable working closely with a data architect without needing hand-holding on every step. When something's unclear, you ask. When something's wrong, you say so. When you disagree, you say no. You care about doing things well, but you also know when good enough ships and perfect doesn't.

Warum wir?

What We Offer

• Genuine appreciation and plenty of trust


• Job Ticket or Job Bike – for a sustainable commute


• Professional development budget – you grow, we invest


• 30 days of vacation, plus time off on December 24th and December 31st


• Corporate Benefits


• Subsidy for Urban Sports Club


• Open feedback culture - honest, respectful, and on equal footing


• A team full of bright minds – with genuine team spirit instead of ego trips


• Support when you need it - and space when you want it

Über uns

Wir sind ein Team aus Expert*innen für Stadtentwicklung, Stadtplanung, Nachhaltigkeit und für Daten. Uns eint eine klare Vision: Ökologisch wertvolle, sozial gerechte und wirtschaftlich attraktive Städte und Regionen, die ihre komplexen Herausforderungen zielsicher meistern, weil sie alle Informationen haben, die sie dazu brauchen.

Gemeinsam zum Ziel

Für gute Lösungen

Nachhaltige Entwicklung gelingt in unseren Augen nur, wenn viele gute Lösungen zusammenkommen. Deshalb ist Kooperation und Gemeinschaft eine wichtige Basis unserer Arbeit. Wir arbeiten eng mit unseren Kund*innen, Partner*innen und als Team zusammen, um gemeinsam zukunftsfähige Lösungen zu realisieren. Auch unsere Datentechnologien sollen Kooperation ermöglichen, weshalb wir sie weitestmöglich als Open Source Lösungen entwickeln. Als Praxispartner von Fraunhofer und durch unsere enge Zusammenarbeit mit Expert*innen urbaner Domänen, wie Klima, Energie, Mobilität und Gesundheitsversorgung, wollen wir die Grundlage dafür schaffen, dass Städte und Regionen ihren Weg zur Smart City zielsicher gehen können.