Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Data Engineer (AI) (Spark/Kafka/AWS): Owns and evolves data architecture and builds batch and streaming pipelines for charging, POI, traffic, and market data with an accent on forecasting, data analysis, and smart pricing. Focus on evaluating utilization models, designing reliable data delivery architectures, making AWS and Databricks decisions, and enabling engineers and analysts through technical leadership.
Location: Remote across Germany, with access to the headquarters in Cologne and occasional in-person team meetings. Workation is available for up to 60 days per year from locations within ±4 hours of the German time zone.
Company
hirify.global develops software and data solutions for the electric mobility and charging infrastructure sector.
What you will do
Own and evolve data architecture across the Data & Intelligence cluster.
Build batch and streaming pipelines for charging, POI, traffic, and market data using Spark, Kafka, and Debezium.
Analyze complex datasets and turn findings into recommendations for stakeholders and customers.
Research, build, backtest, and monitor forecasting models for charge point and site utilization.
Develop and simulate smart pricing approaches based on market data, forecasts, and events.
Lead architectural decisions, AWS and Databricks infrastructure choices, technical communication, and knowledge sharing.
Requirements
Staff Engineer-level experience or equivalent technical leadership across teams.
Strong production-scale experience with Python, Spark, relational and NoSQL databases, and modern table formats such as Delta Lake, Iceberg, or Parquet.
Experience designing batch and streaming architectures with Kafka, RabbitMQ, or CDC tools such as Debezium.
Strong AWS experience and understanding of how cloud infrastructure affects data delivery.
Experience with complex data analysis, forecasting research, backtesting, error metrics, and drift monitoring.
Fluent English required; German is beneficial.
Nice to have
Experience with Kubernetes or Dagster.
Experience in e-mobility, energy, or mobility data.
German language skills.
Culture & Benefits
Remote-first work from home or coworking spaces across Germany, with flexible working hours and core hours from 09:00 to 12:00.
Hardware for the home office and an ergonomic equipment budget after the probation period.
32 days of paid vacation, additional holidays on Christmas Eve and New Year's Eve, and a personal Culture Day.
Benefits budget covering meal subsidies, childcare support, vouchers, sports memberships, and other options.
Company bonus plan, electric vehicle and bike leasing, company pension contribution, and corporate benefits.
Teams meet in person once per tertial for workshops, brainstorming, and company events.
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