Data Engineer (w/m/d)
Core
Develop and maintain robust data pipelines and ETL processes to support digital platforms, enabling advanced analytics, AI, and Digital Twin use cases.
Role type
Data Engineer
Builds
Scalable, secure, and high-quality data solutions for digital platforms
Domain
Energy technology (oil and gas, process industries)
Deliverable
production ML models | product features
Required skills
SQL, big data technologies (Spark, Hadoop), data modeling, data governance, cloud-based data architectures, data lake architectures, Python, API integration, event-driven architectures
Preferred skills
AWS, Snowflake, Alteryx, MLOps
Responsibilities
Design and implement robust data pipelines for structured and unstructured data, Ensure data availability and integrity for critical business applications, Support integration of core systems (ERP, PLM, SCM) into the data platform, Enable AI and advanced analytics by providing clean, well-modeled datasets, Contribute to the development of data architecture and governance framework, Collaborate with architects on cloud-based solutions and modern data architectures
