Data Engineer

DKSR - Data Competence Center for Cities & Regions

Data Engineer building batch and streaming infrastructure for DKSR’s CIVORA urban data hub. Supporting cities, regions, and mission-critical data use cases.

Posted 9/7/2026full-timeRemote • Berlin • 🇩🇪 GermanyJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data infrastructure, with strong capabilities in Python, SQL, and data pipeline orchestration. Proficient in cloud technologies and containerization, while effectively collaborating with cross-functional teams to deliver scalable solutions.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL Database DesignApache AirflowCloud Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData EngineeringBatch Data PipelinesStreaming Data PipelinesApache AirflowDockerKubernetesAWSTerraform

Soft Skills

Proactive Team PlayerDirect Communicator

Tools & Technologies

Apache KafkaGitHubHelmMinIOApache Superset

Industry Keywords

Data InfrastructureData HubRelational DatabaseCloud ConceptsInfrastructure-as-Code

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoGoogle Cloud PlatformJavaJavaScriptKafkaKubernetesNumpyPandasPythonRustScikit-LearnSQLTerraform

About the role

Key responsibilities & impact

Build and operate the data infrastructure powering CIVORA, DKSR’s urban data hub for cities and regions
Contribute to platform components and internal tooling
Collaborate with product and project delivery teams to shape reusable, scalable, and well-documented data infrastructure
Design and maintain batch and streaming data pipelines serving multiple cities and use cases
Support complex and mission-critical use cases and establish best practices and design patterns
Write clean, maintainable, testable software
Propose and prototype new approaches and challenge existing patterns
Understand business problems, refine requirements, design systems, and deliver solutions end-to-end
Work closely with the Data Architect and product development team

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 a related field; equivalent professional experience is also welcome
Python for data processing with pandas, NumPy, and scikit-learn, along with structured software development practices
SQL and an understanding of relational database design
Hands-on experience with Apache Airflow or a similar pipeline orchestration tool
Familiarity with the Kafka protocol or similar streaming systems
Experience with Docker containerization
Working knowledge of cloud concepts and infrastructure-as-code principles, including Helm and Terraform
Comfortable communicating in spoken and written English
Proactive team player and direct communicator
Experience with agentic development using GitHub, Copilot, or Claude
Kubernetes experience is preferred
Hands-on experience with AWS, Azure, or GCP is preferred
Ability to read and work with Java, JavaScript, Rust, or Go is an advantage
Willingness to learn and operate technologies including Helm, OpenTofu/Terraform, MinIO/SeaweedFS, Apache Superset, Apache Iceberg, Lakekeeper, Redpanda, Kafka Connect, Trino, and MLflow
German is not required, but is highly valuable
Must already reside in Germany and be legally authorized to work in Germany
Visa sponsorship and relocation support are not provided

Benefits

Comp & perks

Job Ticket or Job Bike – for a sustainable commute
Professional development budget
30 days of vacation, plus time off on December 24 and December 31
Corporate Benefits
Subsidy for Urban Sports Club
Open feedback culture
Support when you need it – and space when you want it