Senior Data Engineer - AI & IoT Specialist for Production Data (m/f/d)

Your mission

• Designing, developing, and maintaining scalable data pipelines and architectures for production, and time series data
• Developing and operating ETL pipelines based on OT, IoT and cloud technologies such as Engineering Database, MES, AWS IoT Core + Greengrass, AWS Glue, Amazon S3, Redshift and Amazon Lambda
• Implementing and managing time series data pipeline and data storage solutions to handle large volumes of production data
• Collaborating with cross-functional teams to collect, clean, and process data from various sources including IoT devices and production systems
• Supporting and collaborating with our Digitization OT & Automation and IT engineers to develop and deploy data models and algorithms to support predictive maintenance, quality control, process engineering, and other AI-driven initiatives
• Working closely with data analyst or scientists and engineers to ensure data availability and quality for advanced analytics and machine learning projects
• Ensuring data integrity, security, and compliance with company policies and industry standards
• Monitoring and troubleshooting data pipelines to ensure optimal performance and reliability
• Staying current with industry trends and emerging technologies to continuously improve data engineering practices

Your profile

• Completed studies in computer science, information technology, engineering or comparable experience
• Exposure to analytics and/or IoT use cases
• Proven experience (more than 5 years) as a Data Engineer, data modeling, warehousing and the development of ETL pipelines (ideally based on AWS) preferably within a manufacturing or industrial, or automotive sectors.
• Experience with ETL big data technologies (e.g., Hadoop, Spark, Kafka) for collecting sensor or timeseries data.
• Knowledge of higher programming & scripting languages (Python, Bash, PySpark) and experience with databases (e.g. MySQL, PostgreSQL)
• Experience with IoT technology and connectivity as well as with CI/CD pipelines and DevOps tools on AWS (e.g. Jenkins, CodeDeploy, CodePipeline) (e.g. MQTT, OPC UA) is an advantage
• Excellent problem-solving and troubleshooting skills, especially on AWS systems
• Strong communication and teamwork skills
• Very good English and German language skills, both written and spoken

Why us?
The Cellforce Group offers you a dynamic working environment with highly exciting and forward-looking projects. You can expect a highly motivated team with a large individual area of responsibility with extensive learning and development opportunities.

• Hybrid working & flexible working hours
• Capital-forming benefits & secure employment relationship
• Attractive remuneration
• JobRad leasing
• Health promotion (e.g. through the EGYM Wellpass) & corporate benefits
• Team events & modern working environment
• Attractive training opportunities through workshops, seminars & e-learning