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 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary. As part of the central function of Automotive Quality, we are responsible for the development of innovative solutions based on data analytics to improve the quality of our products and processes. We are a team of data analytics specialists, data scientists and data engineers who innovate, develop, and deploy state-of-the-art methods and solutions leveraging technologies like machine learning, natural language processing, semantic modelling and knowledge graphs, robotic process automation, MLOps and data platforms.

To empower our team, we are looking for:

“A digital native (m/f/diverse) who loves to work with data and who seeks a motivating and flexible global team environment to apply and learn from modern technologies. Pleasure in experimentation, an innovative mindset and great team spirit is what characterizes you.”

This position requires enthusiasm and expertise to design end-to-end architecture of data analytics solutions and lead the development from concept to operations focusing on a measurable business impact. Your tasks will focus on the following activities:

• Design detail intensive end-to-end architecture of data analytics solutions from concept to operations including strategies to map data sources and their interfaces, data ingestion and assessment of data structures, pipelines and models, compute, and storage infrastructure
  
• Research, prototype and productionize data and model pipelines together with data engineers to drive PoCs and MVPs leading to solutions in production
  
• Lead the development, testing and deployment of applications by leveraging state-of-the-art data analytics / machine learning methods, data engineering and DevOps tools
  
• Work with business partners to understand and translate functional requirements into technical requirements
  
• Participate in reviews of the designs, prototypes, and other technical deliverables to ensure they fulfill functional requirements and quality standards
  
• Develop standards, patterns, best practices for reuse and acceleration
  
• Provide quality documentation of your design (process and workflow) and implementation including experiment tracking / logs
  
• Take end-to-end responsibility of a module, work independently and where required take initiative to collaborate

• Academic degree in informatics, computer science, or comparable qualification
  
• Application development skills - ability to set-up a backend (Python or similar) and frontend (node.js or similar)
  
• Architecture – the ability to create and explain 3-tier architecture diagrams, system context diagrams, and system interaction diagrams
  
• Project based experience of implementing data pipelines and application workflows in cloud (AWS, Azure) or SAP HANA
  
• Project based experience of working with ETL tools and big data workloads with Apache Spark or Hadoop
  
• Experience with SQL (SQL Script, T-SQL) and in-memory database technologies like Oracle / MS SQL Server / SAP HANA
  
• Technical background in algorithmic processing (AI/ML workloads) and advanced analytics concepts
  
• Working knowledge of modern web architecture design including API development (REST, XML, JSON etc.)
  
• Experience or know-how of working with agile methods (Scrum or Kanban)
  
• Business fluent in English (written and spoken), German language skills desirable
  
• Excellent communication skills and capability to present technological concepts coherently to the business stakeholders

Nice-to-have:

• Experience with software development practices like DevOps and CI/CD tool chains (such as Jenkins, GitHub Actions)
  
• Experience with container orchestration systems (such as Docker, Kubernetes, GitHub, Kubeflow)

Applications from severely handicapped people are welcome.

• A motivating and flexible global team environment to learn and apply modern technologies
  
• In a continuous learning environment, you have opportunities to collaborate and exchange with experts in and outside the company
  
• You will have access to state-of-the-art compute infrastructure both on-premises and in cloud as well as frameworks for machine learning, NLP, knowledge graphs, smart factory technologies, S/4HANA and dashboarding
  
• Opportunity to work on use cases in the automotive field with data from cars as well as from manufacturing
  
• Mobile and cross-border flexible work modus provides you with a perfect work-life balance
  
• Our company offers both management as well as expert career paths
  
• You’ll encounter a participative leadership style which is adapted to a modern digital environment, focused on networking and a strong ‘freedom to act’ attitude
  
• Your opinion counts in our business decisions

We want our employees to do well with us. That's why we offer them not only an exciting job in an international technology group, but also numerous additional offers such as flexible and hybrid working, sabbaticals and other benefits.
Click here to find out more.

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