IT Data Engineer

🔥 16 minutes ago

🇪🇸 Spain – Remote

💵 €43k - €45k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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Logo of Freudenberg Group

Freudenberg Group

10,000+ employees

Founded 1849

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Freudenberg Group is a global company that has developed a specialized platform for job seekers to explore career opportunities within the company. The platform provides a job listing page with search and filter capabilities, and detailed job offer pages where users can learn more about open positions and start the application process. Freudenberg integrates third-party content such as YouTube videos and maps from Google Maps and Baidu Maps to enhance user experience on their job pages. They emphasize user privacy and session management with the use of necessary cookies to ensure security and maintain session consistency throughout the job application process.

📋 Description

• Construct and maintain robust, scalable data pipelines integrating data from multiple sources • Develop efficient database solutions to collect, store, secure, and provide access to data • Create algorithms that transform raw data into actionable insights aligned with business objectives • Evaluate and enhance data systems and processes for improved efficiency and reliability • Implement systems to validate data accuracy and consistency • Collaborate with machine learning engineers, data scientists, analysts, and other stakeholders

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Business Informatics, or a related field • Demonstrated experience as a Data Engineer or in a similar role • Strong knowledge of SAP Datasphere, SAP Business Data Cloud (BDC), SAP Analytics Cloud (SAC), SAP HANA, CDS Views, ABAP fundamentals, SAP data extraction frameworks, and analytical data modeling best practices • Proficiency in Python and SQL • Strong knowledge of relational and non-relational databases • Experience designing and optimizing data pipelines, architectures, and datasets • Experience integrating SAP and non-SAP data sources • Experience leveraging SAP Datasphere, SAP Data Integration capabilities, Databricks, and modern data engineering frameworks • Knowledge of cloud-based data platform architectures and modern cloud technologies • Understanding of reporting, analytics, planning, and business intelligence processes, including underlying data models and requirements • Excellent communication skills in English; German is a plus • Azure services and Infrastructure-as-Code concepts are a plus • Strong team-oriented mindset, creativity, and motivation to contribute to a shared vision

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