Data Engineer

Jobtailor; Berlin; Vor Ort; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data engineer to contribute to CIVORA's data infrastructure in Berlin, spanning platform components and internal tooling. You will collaborate with product and project teams to shape a scalable, well-documented data platform and design robust pipelines for multiple cities.

You will write clean, maintainable code, prototype new approaches, and take ownership of key patterns and best practices in a role that blends data engineering with software engineering.

Qualifikationen

• 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)

Aufgaben

• 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

Kenntnisse

Data Engineering

Python Data Processing

SQL Database Management

Pipeline Orchestration

Cloud Infrastructure

Data Processing

Relational Database Design

Modular Design

Communication

Team Player

Proactive

Ausbildung

B.Sc. in Computer Science

M.Sc. in Data Science

Tools

Apache Airflow

Kafka

Helm

Terraform

GitHub

Jobbeschreibung

Responsibilities

• 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

• 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)

Core Competencies

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 Engineering


• Python Data Processing


• SQL Database Management


• Pipeline Orchestration


• Cloud Infrastructure

ATS Optimization Keywords

Hard Skills

• Data Engineering


• Python


• SQL


• Pipeline Orchestration


• Streaming Systems


• Docker


• Infrastructure-as-Code


• Data Processing


• Relational Database Design


• Modular Design

Soft Skills

• Communication


• Team Player


• Proactive

Certifications & Qualifications

• B.Sc. in Computer Science


• M.Sc. in Data Science

Industry Keywords

• Data Infrastructure


• Data Pipelines


• Batch Processing


• Streaming Processing


• Best Practices

Tools & Technologies

• Apache Airflow


• Kafka


• Helm


• Terraform


• GitHub