Data Engineer

DKSR - Data Competence Center for Cities & Regions

Data Engineer contributing to the urban data hub for cities and regions in Germany. Building data infrastructure and collaborating with the product development team.

Posted 7/22/2026full-timeBerlin • 🇩🇪 GermanyJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and software development, with a strong focus on Python for data processing and SQL for database management. Proficient in designing and maintaining data pipelines, utilizing containerization and cloud infrastructure principles.

Highest-signal resume keywords

Data EngineeringPython Data ProcessingSQL Database ManagementPipeline OrchestrationCloud Infrastructure

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Hard Skills

Data EngineeringPythonSQLPipeline OrchestrationStreaming SystemsDockerInfrastructure-as-CodeData ProcessingRelational Database DesignModular Design

Soft Skills

CommunicationTeam PlayerProactive

Tools & Technologies

Apache AirflowKafkaHelmTerraformGitHub

Certifications & Qualifications

B.Sc. in Computer ScienceM.Sc. in Data Science

Industry Keywords

Data InfrastructureData PipelinesBatch ProcessingStreaming ProcessingBest Practices

Tech Stack

Tools & technologies

AirflowApacheCloudDockerKafkaNumpyPandasPythonScikit-LearnSQLTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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)

Benefits

Comp & perks

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