Data Engineer
Role details
Job location
Tech stack
Job description
At Porsche Engineering Romania, we drive innovation in mobility systems through advanced data solutions. We are looking for a Data Engineer to design and optimize data pipelines, integrate IoT and telemetry data, and ensure compliance with performance KPIs. Join us to work on global projects, collaborate with top engineers, and shape the future of automotive technology. Design and implement ETL/ELT processes for mobility data streams using AWS services.
- You will integrate data from multiple sources (IoT, telemetry, infrastructure systems)
- You will implement data models aligned with KPI monitoring requirements
- You will ensure data accuracy, consistency, and compliance with security standards
- You will implement audit and logging mechanisms for sensitive data
- You will document data flows, architecture, and operational procedures
- You will collaborate with international project teams, * Knowledge-Sharing: We regularly organize internal technical meetups to build bridges between departments, share best practices, and learn about new ways of thinking.
- Collaboration with Universities and Master's Program: On average, our company offers 12 master's thesis topics per year, based on allocation interviews for the top-performing students, and 10 Porsche Engineering scholarships for master's program students with outstanding technical and soft skills. To ensure continuity, our Master curriculum is updated yearly, and only the top 5 bachelor level students are eligible for Porsche Engineering scholarships. For those with a Ph.D., a scholarship for research and development in the AI field is also available.
- Expanding our Know-How: Based on project demands, we provide internal and external soft and technical skill trainings to meet these requirements.
- Performance Running in our Blood: We are part of the Porsche family that specializes in high-performance sports cars, so getting involved in various sporting events and supporting our employees in their quest to become better athletes comes naturally to us.
- Community Support: Giving back to the community, whether through donations or employee volunteering, through the most appropriate social causes that reflect our values and culture, is our primary focus.
Requirements
Bachelor's or Master's degree in Information Technology or an equivalent education, * Bachelor's or Master's degree in Information Technology or an equivalent education
- You have 3+ years of proven experience in data engineering projects
- You have strong skills in Python, SQL, and PySpark
- You have experience with data modeling and KPI reporting using tools like Power BI, Tableau, or Qlik
- You have hands-on knowledge of AWS services (S3, Glue, Lambda, Flink, Kinesis, CloudWatch, Step Functions, Athena, ECS)
- You are familiar with monitoring frameworks (OpenTelemetry, NewRelic)
- You have a good understanding of data security and compliance for sensitive information
- You have knowledge of DevOps practices for data solutions (Terraform, CI/CD, monitoring)
- Experience with SAP HANA, Java, and IoT in the automotive domain (e.g., ECU data) is considered a plus
- You speak English fluently; knowledge of German is considered a plus
- You're a team player with a service-oriented working style, and as a self-confident person, you always have an eye for the essentials
- You are flexible and willing to travel abroad/domestic, whenever it is required