Data Engineer

Company Description

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.

Job Description

At Continental Tires we are aiming to become a leader in the digitalization of fleet solutions. We are creating innovative digital products for our fleet customers to take on big problems to help service partners, fleet managers and drivers with our solutions around the world.

Our IT R&D organization constantly establishes new technology to help R&D Tires design and develop the best-performing and most sustainable tires on the market. Naturally, we work in close partnership with the Tire Research and Development team to ensure the solutions we build help the Tire team be the most efficient and effective it can be.

If you love to learn, grow and be on the forefront of creating modern technology tools, Continental is the perfect match for you.

As a Data Engineer you will be part of the Digitalization & Infrastructure team of the Field Intelligence department. You will work among a team of data engineers, Dev/Ops engineers and field engineers to develop and maintain data operations in the cloud to unlock the potential of the tire performance data collected in our field tests.

Main Responsibilities:

• Design and develop scalable data pipelines for various business purposes (data warehouse, dashboarding, ML lifecycles);
• Enabling data analysts and business owners by building understandable tables, views and data marts;
• Contribute and support ensuring data integrity, data availability and data quality;
• Develop AWS infrastructure with Infrastructure as Code (with Python);
• Consolidate complex data environments consisting of multiple data sources and formats;
• Collaborate cross-functional with data analysts, data scientists and report owners.

Qualifications

• University Degree in Engineering, Computer Science, or related field;
• 3 years of working experience as a data engineer;
• Proficiency in Python and SQL;
• Experience with data modeling (ideally hands on experience with modelling dimensional data models);
• Advanced skills with database technologies (SQL, NoSQL);
• Experience working with a Data Warehouse platform (Redshift preferred);
• Hands-on experience in distributed data processing technologies (e.g. Apache Hadoop, PySpark, Dask) and streaming technologies (e.g. Apache Spark, Apache Kafka);
• Working knowledge in the cloud technology AWS (ideal experience with Infrastructure as Code like Terraform, CDK);
• Knowledge with workflow managers (e.g. Apache Airflow, Luigi, dagster);
• Experience in map matching and routing technologies is a plus (e.g. OSRM, GraphHopper or Valhalla);
• Experience with BI and dashboarding frameworks such as Tableau or PowerBI is a plus;
• Excellent organizational skills;
• Able to work independently as part of a global team;
• Proficient English language skills;
• Experience with Agile development methods.

Additional Information

Our offer:

• Integration in a challenging and international work environment;
• Flexible working model;
• Agile and collaborative working style;
• Continuous opportunities for the promotion of talent and training.

We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome.

Ready to drive with Continental? Take the first step and fill in the online application.