Staff Engineer Data & Intelligence (all genders)
Core
Designing and evolving data architecture for a Data & Intelligence Cluster, building pipelines for charging, POI, traffic, and market data, and developing forecasting models for charging station utilization and intelligent pricing strategies.
Role type
Staff Data & Intelligence Engineer (ML/Analytics focus)
Builds
Data pipelines (batch/streaming), forecasting models, pricing simulation tools, and cloud data infrastructure.
Domain
E-Mobility / Energy / Mobility data
Deliverable
production ML models
Required skills
Python, Spark, Kafka, Debezium, AWS, Delta Lake, Iceberg, Parquet, forecasting model evaluation, architectural decision-making, team training/mentoring, AI tool adoption
Preferred skills
Kubernetes, Dagster, E-Mobility/Energy/Mobility domain experience, German language
Technologies
Spark, Kafka, Debezium, AWS, Databricks, Delta Lake, Iceberg, Parquet, Kubernetes, Dagster
Responsibilities
Design and develop data architecture and pipelines for charging, POI, traffic, and market data; conduct complex data analyses and translate results into recommendations; research, develop, and evaluate forecasting models for charging station utilization; develop intelligent pricing approaches based on market data and simulations; drive AWS and Databricks infrastructure decisions; identify and integrate AI tools to improve analysis and productivity; train and mentor engineers and analysts in data engineering and forecasting methods.
Seniority
Staff, technical leadership across multiple teams
