Data Engineer (f/m/d)
Freudenberg Sealing Technologies · Spain
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- Hybrid
- Full-time
- €75,000 / year
- Spain
Job highlights
- Design, build, and maintain scalable data pipelines.
- Develop efficient data collection, storage, and security solutions.
- Transform raw data into actionable business insights.
- Optimize data systems for efficiency and reliability.
- Collaborate with cross-functional teams on data initiatives.
About the role
Data Engineer
Freudenberg Sealing Technologies is a global technology group focused on creating a cleaner, healthier, and more comfortable world. We offer a networked and diverse environment for our 52,000 employees, providing opportunities for individual growth and 'wow' moments. As a market leader in sealing technology and electric mobility solutions, we leverage unique material and technology expertise to serve demanding customers in the automotive and general industries.
About the Role
We are seeking a Data Engineer to join our dynamic team and work on cutting-edge data projects. You will play a crucial role in designing, building, and optimizing data systems that drive our business forward. If you are a data enthusiast with a passion for innovation, we want to hear from you!
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, Celonis.
- 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).
Benefits at Freudenberg
- International Opportunities
- Diversity & Inclusion
- Personal Development
- Sustainability & Social Commitment
- Flexible Work Models
Key skills/competency
- Data Engineering
- Python
- SQL
- Data Pipelines
- Databricks
- Azure Data Factory
- Cloud Technologies
- Azure
- Data Transformation
- Data Quality
Skills & topics
- Data Engineer
- Data Pipelines
- Python
- SQL
- Databricks
- Azure Data Factory
- Cloud
- Azure
- Data Transformation
- Data Acquisition
- Remote
- Spain
How to get hired
- Tailor your resume: Highlight Python, SQL, and cloud experience.
- Showcase project impact: Quantify achievements in data pipelines and transformations.
- Prepare for technical questions: Review SQL, Python, and Azure concepts.
- Emphasize collaboration: Discuss teamwork in previous data projects.
- Research Freudenberg: Understand their global reach and sustainability focus.
Technical preparation
Master Python and SQL for data manipulation.,Practice building data pipelines with Azure Data Factory.,Familiarize with Databricks and cloud infrastructure.,Understand data transformation and quality assurance.
Behavioral questions
Describe a challenging data pipeline project.,How do you ensure data accuracy and consistency?,Discuss a time you collaborated with diverse teams.,How do you handle evolving data requirements?
Frequently asked questions
- What is the work arrangement for the Data Engineer role at Freudenberg Sealing Technologies in Spain?
- The Data Engineer position at Freudenberg Sealing Technologies in Spain is a remote role, allowing you to work from home.
- What are the key technical skills required for the Data Engineer job at Freudenberg?
- Successful candidates will need proficiency in Python and SQL, experience with relational and non-relational databases, building data pipelines using tools like Databricks or Azure Data Factory, and knowledge of Azure cloud technologies and infrastructure as code.
- What educational background is preferred for the Data Engineer position?
- A Bachelor's degree in Computer Science, Data Engineering, or a related field is required. A Master's degree is preferred.
- Does Freudenberg Sealing Technologies offer opportunities for international career growth?
- Yes, Freudenberg Sealing Technologies supports career growth through international exchange and global job opportunities for its employees.
- How important is collaboration in this Data Engineer role?
- Collaboration is essential. You will work closely with machine learning engineers, data scientists, analysts, and other stakeholders to fulfill the organization's data-centric needs.
- What are some of the benefits of working at Freudenberg Sealing Technologies?
- Benefits include international opportunities, a focus on diversity and inclusion, personal development through training, support for sustainability and social projects, and flexible work models.
- What programming languages are essential for this Data Engineer role?
- Proficiency in Python and strong knowledge of SQL are essential for this Data Engineer position.
- Is German language proficiency required for the Data Engineer role?
- Strong communication skills in English are required. German language skills are considered a plus but are not mandatory.