Job Description
WE ARE AGAIN AWARDED AS TOP ARBEITGEBER 2024!
A success story that once began in the garage of Bill Hewlett and Dave Packard can be continued by you: As an independent HP spin-off, AP Sensing has been combining outstanding technological know-how with passion and success for more than 15 years. At our Böblingen site, we develop and produce measuring devices and software solutions that are used worldwide. For example, we monitor offshore wind farms in the North Sea, numerous sections of the European electricity and pipeline network, important transport facilities such as the Eurotunnel or the metro in Singapore and hundreds of other critical facilities. With your support, we want to continue to optimize plants and protect people and the environment. Don't miss this opportunity and become part of our strong and cooperative team!
- You will work on the development of our hybrid (Cloud and Edge) IoT data infrastructure (Data Lake and MLOps).
- You will work on building a robust and scalable data catalogue to effectively manage metadata. This includes understanding and implementing best practices for data governance, management, and accessibility.
- You will work on a highly efficient storage layer to handle large amounts of sensor data (petabytes). The focus is on ensuring data integrity, speed, and scalability.
- In close collaboration with relevant teams and stakeholders, including Data Science, Operations and Business, you will perform the necessary requirements engineering.
- In close collaboration with other Data Engineers, ML Engineers, and Software Engineers, you will translate our business challenges into scalable data architectures.
- As an expert in our Data Engineering team, you will maintain your knowledge of current technologies, future trends and innovative methods through continuous training, cross-industry networking, and conference attendance.
- You have a technical degree, ideally in computer science or comparable.
- You have at least 5 years of professional experience in data engineering, ideally in the field of big data, IoT and the management of sensor data for data analysis and machine learning.
- You have excellent knowledge of state-of-the-art storage technologies and their productive use (noSQL, time series databases, document stores, graph databases, etc.).
- You have sound programming skills in development with Python or other programming languages and know how to develop high-quality code.
- You have experience with containerization (Docker, ideally also Kubernetes)
- You have excellent analytical skills and a very quick grasp.
- Ideally, you have in-depth knowledge of AI workloads and MLOps.
- Ideally, you have good knowledge of at least one major cloud platform (AWS, GCP or Azure) and understand how to use the services optimally.
- Ideally, you are familiar with stream processing technologies such as Apache Flink, Spark, Storm, or Kafka.
- Semi-annual bonus payments (depending on the company's performance)
- annual salary increases
- vacation bonus
- Christmas bonus
- permanent employment contract with job security
- career opportunities due to steady, healthy company growth
- company pension plan
- Participation in the Corporate Benefits Program
- meal allowance for in-house canteen
- free drinks and fresh fruit
- new and fully equipped kitchen with high-tech coffee machine
- kiosk in the building
- large, bright and air-conditioned offices
- modern office equipment with creative spaces
- Height-adjustable desks for ergonomic work
- flat hierarchies and very collegial relationship with managers
- very positive and appreciative working atmosphere
- international and intercultural team
- flexible working hours and home office options
- company laptop for everyone
- ideal work-life balance
- regular company and team events
- employee education and training
- 2 minutes to the S-Bahn and freeway
- free parking spaces
- charging stations for e-cars
- Job bike offer
- Sports offer: weekly jogger group and fitness coach
- Showers available (for cyclists or "lunch break joggers")