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. 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). 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.

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

📌 It Data Engineer (F/M/D) (Málaga)
🏢 Freudenberg
📍 Málaga