Staff Engineer, Data & Intelligence

This is a fully remote position, open to applicants in Germany.

📋 Description

• Take ownership and enhance the data architecture within the Data & Intelligence cluster.

• Construct batch and streaming pipelines for the ingestion, enrichment, and processing of charging, POI, traffic, and market data.

• Conduct intricate data analyses and transform findings into actionable recommendations for both internal stakeholders and customers.

• Investigate, create, and assess forecasting models for charge point and site utilization.

• Implement backtesting, error metrics, and drift monitoring for forecasting models.

• Create and simulate intelligent pricing strategies based on market data, forecasts, and events prior to live implementation.

• Document architectural and modeling choices while communicating the associated trade-offs.

• Educate and mentor engineers and analysts through workshops, pair programming, design reviews, and code quality feedback.

• Influence AWS and Databricks infrastructure choices related to data delivery and cloud cost awareness.

• Identify and integrate AI tools to enhance analysis, development productivity, and data quality.

⛳️ Requirements

• Staff Engineer level or equivalent experience required.

• Proven technical leadership across multiple teams.

• Strong engineering expertise coupled with analytical rigor.

• Extensive production-scale experience in Python and Spark.

• Familiarity with both relational and NoSQL databases.

• Experience with modern table formats such as Delta Lake, Iceberg, or Parquet.

• Ability to perform complex data analyses and thoroughly evaluate forecasting models.

• Experience in designing batch and streaming architectures.

• Experience with tools like Kafka, RabbitMQ, or CDC tools such as Debezium is preferred.

• Understanding of delivery semantics and schema evolution.

• Strong AWS proficiency and an understanding of how cloud infrastructure affects data delivery.

• Familiarity with Kubernetes and Dagster is a plus.

• Actively exploring and applying AI tools and techniques.

• Proactive with strong written and verbal communication skills.

• Experience in e-mobility, energy, or mobility data is an advantage.

• Fluent in English; German is a plus.

🏝️ Benefits

• Options for remote-first work from home, co-working spaces across Germany, or the headquarters in Cologne.

• Provision of hardware for home office setup.

• Budget for ergonomic home office equipment following the probation period.

• Flexible working hours with core hours set from 9:00 to 12:00.

• Workation Worldwide: the ability to work remotely for up to 60 days per year from locations within ±4 hours of the German time zone.

• Monthly flexible benefits budget through Probonio for meal subsidies, childcare support, vouchers, or Urban Sports Club membership.

• 32 days of paid vacation annually.

• Full days off on Christmas Eve and New Year's Eve.

• Culture Day.

• Company-wide bonus through the Shared Success Plan.

• Attractive conditions for FINN JobAuto electric vehicle leasing.

• Bike leasing options available.

• In-person team meetings held once every tertial, including brainstorming, workshops, and company events.

• Membership to Urban Sports Club.

• Access to life coaching programs and additional wellness offerings.

• Dog-friendly headquarters.

• 20% contribution to the company pension plan.

• Access to a corporate benefits portal.