Data Engineer
At a glance
Mid-level Data Engineering role at Aumovio. Vila Real · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain automated pipelines that bring data from business systems into analytics and AI workflows
- Use Databricks to develop and run scalable Lakehouse solutions
- Connect legacy applications, including SAP, and make their data dependable for analytics and AI use
- Prepare and model data for BI and AI, while protecting its quality, integrity and availability
- Track ETL performance and improve pipelines for reliability and efficiency
What you bring
- A master's degree in computer science, data engineering, applied mathematics or a related field
- At least two years as a data engineer, analytics engineer or AI/data engineer
- Strong SQL and Python, plus hands-on experience with Databricks, AWS and Lakehouse design
- Experience creating and supporting scalable ETL or ELT workflows
- Fluent English and knowledge of data modeling, Git and CI/CD practices
Who this fits
This mid-level role suits you if you want to support AI work and build enterprise data systems. You’ll work in a hybrid arrangement in Vila Real. The role calls for clear communication and compliance with cybersecurity and IT security standards.
From the employer
Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.
- You will create and maintain automated data pipelines from various sources and business domains, including data modeling, transformation and preparation to support Business Intelligence and AI solutions.
- You will play a key role in the company's digital transformation journey, helping to centralize and democratize enterprise data across business functions.
- You will use Databricks as the primary platform to design, develop and operate scalable Lakehouse solutions.
- You will explore, integrate and connect data from legacy enterprise applications such as SAP and other business systems, ensuring reliable data availability for analytics and AI use cases.
- A significant part of your work will focus on enabling and supporting AI initiatives, requiring a strong interest in Artificial Intelligence, modern data architectures and emerging technologies.
- You will be responsible for maintaining data reliability, integrity and availability while complying with Cybersecurity and IT security standards.
- You will monitor and optimize ETL pipelines to ensure they remain reliable, efficient and performant.
- Stay up to date with the latest developments and trends in Data Engineering and Artificial Intelligence, incorporating new methodologies into daily work.
- Master's degree in Computer Science, Data Engineering, Applied Mathematics or similar field.
- 2+ years of experience as Data Engineer, Analytics Engineer or AI/Data Engineer.
- Strong SQL and Python skills.
- Experience with Databricks, AWS and modern Lakehouse architectures.
- Experience building and maintaining scalable ETL/ELT pipelines.
- Knowledge of data modeling, data warehousing and Delta Lake concepts.
- Experience with Git and CI/CD practices.
- Understanding of data governance, access control and data quality principles.
- Strong communication skills and fluent English.
Nice to Have:
- Experience with SAP data sources.
- Experience integrating SharePoint and enterprise document repositories.
- Knowledge of Power BI or similar BI tools.
- Understanding of AI data architectures, including RAG, vector search and LLM applications.
- Experience with Unity Catalog and Databricks governance capabilities.
Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.
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