Data Engineer

🕒 vor 28 Tagen

🌐 Frankreich, Spanien, +1 weitere LĂ€nder – Remote

infoinfo

đŸ’” €50.000 - €60.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🚰 Dateningenieur

đŸ‘» Geisterscore 0%

infoinfo

đŸ—ŁïžđŸ‡ș🇾🇬🇧 Englisch erforderlich

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Logo of Free2move

Free2move

201 - 500 Mitarbeiter

📩 Logistik

🚘 Automobilindustrie

đŸ„ Gesundheitswesen

Logistics ‱ Automotive ‱ Healthcare

Free2Move ist eine globale MobilitĂ€tsmarke, die 2016 mit dem Ziel gegrĂŒndet wurde, MobilitĂ€t fĂŒr jeden zu vereinfachen. Das Unternehmen agiert hauptsĂ€chlich in Europa und den USA und bietet ein umfassendes und einzigartiges Ökosystem von MobilitĂ€tsdienstleistungen fĂŒr sowohl private als auch professionelle Kunden an. Diese Dienstleistungen umfassen Carsharing, Mietoptionen fĂŒr verschiedene ZeitrĂ€ume, VTC-Fahrerreservierungen, Parkplatzreservierungen und den Zugang zu Ladestationen. Free2Move bietet auch Flottenmanagementlösungen und unterstĂŒtzt den Übergang zur ElektromobilitĂ€t mit Produkten wie Ladeinfrastruktur und Vehicle-to-Grid-Technologie. Mit einer Kundenbasis von 2 Millionen Nutzern ist das Unternehmen ein fĂŒhrender Anbieter im Bereich der E-MobilitĂ€t, mit 450. 000 Mietfahrzeugen und 250. 000 Ladepunkten und einer PrĂ€senz in 170 LĂ€ndern.

Beschreibung

‱ Own the full lifecycle of data products and act as a technical leader ‱ Collaborate closely with Data Scientists to bring real-time pricing algorithms to production for millions of users ‱ Take full ownership of data pipelines within the Pricing Analytics scope ‱ Architect and build systems for highly complex or vaguely defined problems ‱ Lead the design, development, optimization, and productionization of ML and ML-based solutions with cross-functional stakeholders ‱ Manage the infrastructure on which the Pricing algorithm runs ‱ Take responsibility for the performance of the pricing ML system ‱ Lead cross-team efforts to leverage and scale ML infrastructure for model development, training, and deployment ‱ Write well-crafted, well-tested, readable, and maintainable production-quality code

🎯 Anforderungen

‱ Degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative field ‱ Expert-level proficiency in SQL and Python ‱ Clean, modular, optimized code for complex data transformations ‱ Significant hands-on experience modeling enterprise Data Warehouses using dbt, including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage ‱ Strong experience with Databricks ecosystem, including Delta Lake, PySpark, Unity Catalog, SQL Endpoints, and Serverless compute ‱ Strong experience with AWS cloud infrastructure, including S3, IAM, KMS, and DataSync ‱ Solid experience writing and orchestrating complex production DAGs using Apache Airflow or MWAA ‱ Experience managing deployments with Docker and Kubernetes ‱ Experience with CI/CD pipelines, Git, GitHub Actions, and Terraform ‱ Hands-on experience building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards ‱ Experience leveraging AI tools such as Claude and Databricks AI features ‱ Solid understanding of GDPR requirements, PII masking, access control policies, data retention, and auditing via Unity Catalog ‱ Analytical mindset and ability to translate complex business requirements into scalable data marts and KPI metrics ‱ Ability to communicate complex technical concepts clearly to business stakeholders and domain teams ‱ Fluency in written and spoken English

đŸ–ïž Vorteile

‱ A start-up spirit supported by a large Group ‱ The opportunity to revolutionize the uses of mobility with us ‱ A neat integration to start well ‱ Lots of possibilities for development ‱ Collaboration with multidisciplinary and international teams ‱ International projects to perfect your background ‱ Access to an E-Learning platform for the development of languages and other skills

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