Data Engineer - IoT in Stuttgart bei Xcede

Data Engineer - IoT

Xcede have partnered with a manufacturer of fibre-optic products, with offices across Europe, Middle-East, Africa and the Americas.

This opportunity is working on a hybrid model, with 2/3 days a week in office near Stuttgart.

The working environment is English and all applicants must be able to speak fluently.

Your Responsibilities

• 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.

Your Profile

• You have at least 2 years of professional experience in data engineering, ideally in the field of big data or IoT

• You have excellent knowledge of state-of-the-art storage technologies and their productive use (no SQL, time series databases, document stores, graph databases, etc.).

• You have sound programming skills in development with Python or other programming languages

• Experience with containerization (Docker and Kubernetes)

• In-depth knowledge of AI workloads and MLOps.

• Ideally, you have good knowledge of at least one majorcloud platform (AWS, GCP or Azure) and understand how to use the services optimally.

• You are familiar with stream processing technologies(Apache Flink, Spark, Storm, or Kafka).

For more information please apply directly, or send your CV to Steven.Waterson@xcede.de

Our client is not able to accept overseas applicants for this position.