Staff Engineer, Data & Intelligence

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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chargecloud

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

chargecloud is a Cologne-based SaaS provider of modular, cloud-native software for the e-mobility market. Its platform centers on a Charge Point Management System (CPMS) and offers modules for charging operations, billing & payment, fleet and home charging, partner management, plus white-label B2B and B2C apps and a partner marketplace. chargecloud serves charge point operators, utilities, fleet operators and service providers across Europe, enabling scalable operation, e‑roaming and tariff management for public and private charging infrastructure.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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