Data Engineer

Cheuss People Growth; Köln; Hybrid; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

A dynamic company is seeking a motivated Data Engineer to join their Machine Learning Applications team. The role involves building and maintaining data pipelines for simulation technologies. Ideal candidates will have a strong background in data engineering, proficiency in Python, and experience with cloud platforms. The company offers a multicultural environment with flexible working arrangements, learning opportunities, and health benefits in Germany and Spain.

Leistungen

Dynamic, multicultural workplace

Annual learning budget

Local language classes

Health and wellness benefits

Clear paths for personal and professional development

Regular team events

Qualifikationen

• 3+ years of experience working as a Data Engineer.
• Educational background in Computer Science, Physics, Mathematics or similar.
• Strong proficiency in Python for data applications.

Aufgaben

• Build high-performance data pipelines for simulations and modeling workflows.
• Design and manage clean APIs for core data operations.
• Collaborate with Data Scientists on data access and transformation requirements.

Kenntnisse

Python

Data Modeling

ETL Processes

Cloud Platforms

Pandas

NumPy

Ausbildung

Computer Science

Physics

Mathematics

Tools

Spark

Delta Lake

Dask

Databricks

Snowflake

AWS Athena

Presto

Jobbeschreibung

We are seeking a skilled and motivated Data Engineer to support our Machine Learning Applications team. In this role, youll be responsible for building and maintaining scalable data pipelines that underpin our simulation technologies. Your work will be essential to enabling high-quality data flow and preparation for advanced analytical and machine learning tasks.

Responsibilities :

• Build high-performance solutions for data ingestion, transformation, and export to support simulation and modeling workflows.

Design and manage clean, modular APIs and interfaces for core data operations.

Work closely with Data Scientists to understand and support their requirements for data access, transformation, and simulation inputs.

Partner with Engineers to integrate data components into complete systems and APIs.

Contribute to a collaborative and forward-thinking team environment focused on improving simulation models and data capabilities.

Requirements :

• 3+ years of experience working as a Data Engineer, ideally in a context involving data science or machine learning.

Educational background in Computer Science, Physics, Mathematics, or a related technical field.

Strong coding proficiency in Python, especially for data-related applications.

Demonstrated ability to write efficient, scalable code for handling large-scale tabular data.

Solid experience in data modeling and working with both structured and unstructured datasets.

Familiarity with key Python libraries like Pandas and NumPy.

Good understanding of data lakes and cloud-based data platforms.

Bonus points for experience with large-scale data processing tools (e.g., Spark, Delta Lake, Dask, Databricks, Snowflake, AWS Athena, Presto).

A sharp eye for detail and a preference for clean, simple, and reliable solutions.

Excellent written and verbal communication skills in English.

What we offer :

• A dynamic, multicultural, and inclusive workplace.

Flexible working arrangements : fully remote within the EU, with optional office presence in Cologne or Barcelona.

• Annual learning and development budget to invest in your growth.
• Local language classes in Germany and Spain.
• Health and wellness benefits available in Germany and Spain.
• Clear paths for both personal and professional development.
• Regular team events and company-wide gatherings.