IT Data Engineer

Freudenberg Sealing Technologies S.L.U.; Madrid; Remote; EUR 43,000 - 45,000; Full time

Benefits offered by this job

Diversity & Inclusion

Personal Development

International Opportunities

Sustainability & Social Commitment

Flexible Work Models

Job summary

Freudenberg Sealing Technologies S.L.U. is seeking a Data Engineer to design and build scalable data pipelines, acquire and store data, and transform data into actionable insights for business teams.

The role collaborates with ML engineers, data scientists, and analysts to meet data-centric needs. Ideal candidates will have a strong SAP data and analytics background, Python/SQL proficiency, and experience with Databricks and cloud platforms such as Azure.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (Master's degree preferred).
• Proven 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, with strong knowledge of relational and non-relational databases; experience designing data pipelines and datasets.
• Experience integrating SAP and non-SAP data sources using SAP Datasphere, SAP Data Integration, Databricks, and modern data engineering frameworks.
• Knowledge of cloud-based data platforms and Azure; Infrastructure-as-Code concepts a plus.
• Business analytics, reporting, and BI process understanding; good English communication; German a plus.

Responsibilities

• Design and Build Data Pipelines: Construct and maintain robust, scalable data pipelines to integrate data from multiple sources.
• Data Acquisition and Storage: Develop efficient database solutions to collect, store, and secure data.
• Data Transformation: Create algorithms to convert raw data into actionable insights aligned with business objectives.
• Pipeline Optimization: Continuously evaluate and enhance existing data systems and processes for improved efficiency and reliability.
• Quality Assurance: Implement systems to validate accuracy and consistency of data sets.
• Collaboration: Work with ML engineers, data scientists, analysts and stakeholders to meet data-centric needs.

Skills

Python

SQL

Data pipelines

Data quality

Communication in English

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Master's degree preferred

Tools

SAP Datasphere

SAP Business Data Cloud (BDC)

SAP Analytics Cloud (SAC)

SAP HANA

CDS Views

ABAP fundamentals

SAP data extraction frameworks

Databricks

Azure

Job description

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Freudenberg Sealing Technologies is a longstanding technology expert and market leader for sophisticated and novel applications in sealing technology and electric mobility solutions worldwide. Thanks to our unique materials and technology expertise, we are a proven supplier for demanding products and applications, as well as a development and service partner to customers in the automotive industries and in general industries. With our approximately 13,000 employees worldwide, we generate sales of about 2.5 billion euros.

Some of the Benefits

• Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
• Personal Development: We offer a variety of trainings to ensure you can develop in your career.
• International Opportunities: Grow in your career through international exchange and global job opportunities.
• Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement.
• Flexible Work Models: We allow for flexible work models to ensure both professional and personal success.

Spain - Remote Remote Freudenberg Sealing Technologies S.L.U. payments The gross annual salary for this position in Spain ranges from €43,000 to €45,000. Compensation for this position will be determined by the candidate's qualifications, experience, education, and overall alignment with the role's responsibilities.

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, Information Systems, Business Informatics, or a related field (Master's degree preferred).
• Proven Experience: Demonstrated experience as a Data Engineer or in a similar role.
• SAP Data & Analytics Expertise: 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.
• Programming, Databases & Data Engineering: Proficiency in Python and SQL, strong knowledge of relational and non-relational databases, and experience designing and optimizing data pipelines, architectures, and datasets.
• Data Integration & Platforms: Experience integrating SAP and non-SAP data sources, leveraging SAP Datasphere, SAP Data Integration capabilities, Databricks, and modern data engineering frameworks.
• Cloud Technologies & Infrastructure: Knowledge of cloud-based data platform architectures and modern cloud technologies; experience with Azure services and Infrastructure-as-Code concepts is a plus.
• Business Analytics & Reporting: Understanding of reporting, analytics, planning, and business intelligence processes, as well as the underlying data models and requirements that support them.
• Collaboration & Communication: Strong team-oriented mindset, creativity, and motivation to contribute to a shared vision, combined with excellent communication skills in English (German is a plus).

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.