Mid Data Engineer
hace 2 semanas
Volkswagen Group Services is excited to present a fantastic opportunity to join our Volkswagen Digital:Hub in Spain. As part of the global Software Development Centre network in the Volkswagen Group, we constantly seek talented individuals ready to bring their unique skills to our projects.
Our start-up environment is collaborative, innovative, and open to new ideas. We strive to cultivate a work culture that encourages individual growth, team empowerment, and project excellence. We value respect, teamwork, and the common purpose that binds us as a group. If you're ready to thrive in a dynamic start-up environment and be part of our family, supported by one of the largest companies in the world, we invite you to read further.
About the Team and the Hub:
- Our culture is centered around fostering individual growth and team empowerment within a flexible and supportive environment.
- We prioritize respect, teamwork, and inclusivity, recognizing and valuing the unique contributions of each member.
- We embrace a work-life balance philosophy and encourage continuous personal and professional development.
Responsibilities:
- Design, build, and maintain robust and scalable data pipelines and ETL processes to support data integration and transformation.
- Develop and optimize data architectures, ensuring data quality, integrity, and accessibility.
- Collaborate with data analysts to understand data needs and provide efficient data solutions.
- Implement data governance and security measures to protect sensitive information.
- Monitor and troubleshoot data systems to ensure optimal performance and reliability.
- Work with large datasets, employing advanced data processing techniques and technologies.
- Stay up-to-date with the latest industry trends and technologies in data engineering and recommend improvements.
Requirements:
- Experience: 3+ years in Data Engineering or related fields.
- Education: Bachelor's or Master's in Computer Science, IT, or related field or equivalent proven experience.
- Technical Skills: Strong proficiency in Python and SQL for data processing and query optimization.
- Experience with DBT.
- Solid understanding of Clean Code principles, CI/CD best practices, and software engineering fundamentals.
- Familiarity with AWS CDK, Infrastructure-as-Code, and system integration methods (APIs, FTP).
- Knowledge of data modeling, data warehousing concepts, and database design and operations.
- Tools & Platforms: Hands-on experience with cloud-native development on AWS (Azure or GCP also considered).
- Services such as AWS Lambda, Redshift, EC2, CloudWatch, and GitHub Actions.
- Soft skills: Strong analytical and problem-solving abilities, excellent communication and collaboration skills.
- Fluent in English.
Nice to Have:
- Experience with Dagster, Data Vault modeling, real-time data processing, or machine learning frameworks, NoSQL Databases.
- Familiarity with BI tools such as Tableau, Power BI, or QlikView.
What we offer:
- Fully remote work capability, with an option to work from our office when needed.
- Access to professional development tools and free language courses.
- Flexible working hours to accommodate personal and professional needs.
- A competitive holiday package and access to a variety of employee discounts.
For more information on our data processing activities and your rights as a data subject, please consult our privacy policy.
Ref: Level C
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