Staff Engineer, Data & Intelligence

• Own and evolve the data architecture across the Data & Intelligence cluster
• Build batch and streaming pipelines ingesting, enriching, and processing charging, POI, traffic, and market data
• Perform complex data analysis and turn results into recommendations for internal stakeholders and customers
• Research, build, and evaluate forecasting models for charge point and site utilization
• Apply backtesting, error metrics, and drift monitoring to forecasting models
• Develop and simulate smart pricing approaches based on market data, forecasts, and events before live rollout
• Document architectural and modelling decisions and communicate trade-offs
• Teach and train engineers and analysts through workshops, pair programming, design reviews, and code-quality feedback
• Drive AWS and Databricks infrastructure decisions related to data delivery and cloud cost awareness
• Identify and introduce AI tooling to improve analysis, development productivity, and data quality

• Staff Engineer level or equivalent experience
• Demonstrated technical leadership across teams
• Strong engineering depth and analytical rigour
• Strong production-scale experience with Python and Spark
• Experience with relational and NoSQL databases
• Experience with modern table formats such as Delta Lake, Iceberg, or Parquet
• Ability to perform complex data analysis and rigorously evaluate forecasting models
• Experience designing batch and streaming architectures
• Experience with Kafka, RabbitMQ, or CDC tools such as Debezium preferred/ideal
• Understanding of delivery semantics and schema evolution
• Strong AWS experience and understanding of cloud infrastructure's impact on data delivery
• Kubernetes and Dagster are a plus
• Active exploration and application of AI tools and techniques
• Proactive and clear written and verbal communication
• Experience with e-mobility, energy, or mobility data is a plus
• Fluent in English
• German is a plus

• Remote-first working options from home, co-working spaces across Germany, or the headquarters in Cologne
• Hardware for home office
• Budget for ergonomic home office equipment after probation
• Flexible working hours with core working time from 9:00 to 12:00
• Workation Worldwide: remote work for up to 60 days per year from anywhere within ±4 hours of the German time zone
• Monthly flexible benefits budget via Probonio for meal subsidies, childcare support, vouchers, or Urban Sports Club membership
• 32 days of paid vacation per year
• Christmas Eve and New Year's Eve fully off
• Culture Day
• Shared Success Plan company-wide bonus
• FINN JobAuto electric vehicle leasing at attractive conditions
• Bike leasing
• In-person team meetings once per tertial, including brainstorming, workshops, and company events
• Urban Sports Club
• Life coaching programs and additional wellness offerings
• Dog-friendly headquarters
• 20% contribution to company pension plan
• Corporate benefits portal