Working at Freudenberg: We will wow your world!

Responsibilities:

- Design and Build Data Pipelines: Construct and maintain robust, scalable data pipelines to seamlessly integrate data from multiple sources.

- Data Acquisition and Storage: Develop efficient database solutions to collect, store, and secure data, ensuring accessibility and protection.

- Data Transformation: Create algorithms to convert raw data into actionable insights, aligning with our business objectives.

- Pipeline Optimization: Continuously evaluate and enhance existing data systems and processes for improved efficiency and reliability.

- Quality Assurance: Implement systems to validate and ensure the accuracy and consistency of data sets.

- Collaboration: Work closely with machine learning engineers, data scientists, analysts, and other stakeholders to meet the organization's data-centric needs.

Qualifications:

- Educational Background: Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred).

- Proven Experience:



Demonstrated experience as a Data Engineer or in a similar role.

- Programming and Database Expertise: Proficiency in programming languages such as Python, strong knowledge of SQL, and experience with both relational and non-relational databases.

- Pipeline and Data Tools: Experience in building and optimizing data pipelines, architectures, and data sets; familiarity with tools like Databricks, Azure Data Factory, and Microsoft Fabric.

- Cloud and Infrastructure: Knowledge of infrastructure as code (e.g., Terraform) and state-of-the-art cloud technologies, particularly the Azure platform.

- Team Player: Dedicate your creativity and motivation to the team’s vision, and work well within a collaborative environment.

- Communication Skills: Strong communication skills in English (German is a plus).

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Required Skill Profession

Computer Occupations

📌 IT Data Engineer (f/m/d) (Puerto del Carmen)
🏢 Freudenberg
📍 Puerto del Carmen