Data Engineer

Jobtailor; Bonn; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a data engineer to design, build and operate robust data pipelines and platforms in Bonn. You will develop, test, and run ETL/ELT processes, design data models for warehouses and lakehouses, and implement validations and monitoring to ensure data quality.

You will work with cloud environments (AWS/Azure/GCP), automate workflows with Airflow, and own end-to-end solutions from concept to production, collaborating with data scientists, analysts and clients.

Qualifikationen

• Production-grade data pipelines and infrastructure experience.
• Proficient in Python and SQL; strong ETL/ELT knowledge.
• Experience with data warehouses/lakehouses and cloud platforms (Databricks/Snowflake/AWS/Azure/GCP).
• Strong data modeling and data quality practices.
• Ability to own end-to-end data solutions from concept to production.
• Team player with cross-functional collaboration.

Aufgaben

• Design, build, and operate data pipelines and platforms.
• Develop, test, and operate robust ETL/ELT pipelines.
• Design and maintain data models for data warehouses/lakehouses.
• Implement validations, quality checks, and monitoring.
• Build and optimize data solutions in the cloud (AWS/Azure/GCP).
• Automate recurring data workflows (e.g., Airflow) and ensure clean deployments with CI/CD.
• Collaborate closely with cross-functional teams and clients.

Kenntnisse

Python

SQL

ETL/ELT

Data modeling

Data quality

CI/CD

Collaboration

German (C1+)

English (plus)

Tools

Airflow

Databricks

Snowflake

AWS

Azure

GCP

Jobbeschreibung

Responsibilities

• Design, build, and operate data pipelines and platforms.
• Develop, test, and operate robust ETL/ELT pipelines.
• Design and maintain data models, schemas, and structures for data warehouses/lakehouses.
• Implement validations, quality checks, and monitoring.
• Build and optimize data solutions in the cloud (AWS/Azure/GCP).
• Automate recurring data workflows (e.g., using Airflow) and ensure clean deployments with CI/CD.
• Collaborate closely with cross-functional teams and clients.

Requirements

• Data engineering experience: built and operated production data pipelines and infrastructure.
• Tool stack: proficient in Python and SQL, familiar with ETL/ELT, data warehouses/lakehouses, and cloud environments (Databricks/Snowflake/AWS/Azure/GCP).
• Data modeling & quality awareness: understand data modeling and prioritize data quality, testing, and maintainable code.
• Execution skills & ownership: pragmatically and purposefully drive solutions from concept to production and take responsibility for results and quality.
• Team player: enjoy working with data scientists, analysts, and clients.
• Languages: fluent German (C1+); strong English skills are a plus.

Core Competencies

Demonstrates expertise in designing and operating data pipelines and platforms, with a strong focus on ETL/ELT processes, data modeling, and quality assurance. Proficient in cloud environments and automation tools, ensuring efficient data workflows and collaboration with cross-functional teams.