Data Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du Datenarchitekturen und integrierst modernste Cloud-Technologien, um Echtzeit-Handelsstrategien zu optimieren und AI/ML-Lösungen für automatisierte Datenvalidierung einzuführen. Job Zusammenfassung In dieser Rolle entwickelst du Datenarchitekturen und integrierst modernste Cloud-Technologien, um Echtzeit-Handelsstrategien zu optimieren und AI/ML-Lösungen für automatisierte Datenvalidierung einzuführen. Deine Rolle im Team Embedded IT sits at the pulse of our Trading Department. We don't just provide support; we are strategic partners to RWEST's Analysis and Trading Desks. From Systematic Trading and Market Making to cutting-edge Weather Data Visualization, we build the engines that drive our success. Leveraging the latest cloud technologies, we transform complex data into actionable insights-ensuring that every innovative trading idea has the technical power to become a reality. As a key member of the Embedded IT team, you will bridge the gap between complex data engineering, AI innovation, and real-time trading strategy. Partner directly with Traders and Analysts to capture, define, and implement high-impact use cases. Own the end-to-end lifecycle of requirements, from initial clarification to robust testing and deployment. Drive Collective Intelligence as part of a high-performing, cross-location team, where constant knowledge sharing and technical exchange are at the core of how we work. Act as the technical specialist for our modern Market Data Platform, leveraging Databricks, Dremio, and Tableau on AWS. Lead the onboarding of new datasets, ensuring our desks have rapid access to market-critical information. Identify and implement AI/ML solutions to automate data validation, enhance data quality, and accelerate processing workflows. Architect and implement automated workflows for internal and external trading models. Take a holistic view of our data infrastructure to drive improvements in efficiency, reliability, and speed. Stay at the forefront of the industry by mastering the latest cloud and AI capabilities. Proactively scout market developments to suggest and implement next-generation tools-leveraging AI to further enhance our trading capabilities. Unsere Erwartungen an dich Ausbildung A degree in Computer Science, Mathematics, or a related quantitative field-or equivalent deep-level professional experience. Qualifikationen We are looking for a senior-level engineer who thrives at the intersection of data architecture and business value. Proficiency in at least one modern JavaScript framework (e.g., React, Angular, or Vue) to help bring data to life through intuitive interfaces. A strong background in data storage and cloud infrastructure, with the ability to design systems that prioritize performance and scalability. A track record of working directly with end-users to deconstruct complex problem statements and translate them into scalable technical solutions. A strong growth mindset. Eager to master Databricks, Dremio, and Tableau and enjoy sharing your knowledge with the team. Natural fluency in Agile methodologies, with a focus on continuous delivery. Building solutions on AWS, managing environments via Azure DevOps, and utilizing Terraform and Docker. Familiarity with Energy Markets or industry-specific tools like Plexos. Erfahrung Extensive professional experience with Python and Spark, backed by a deep understanding of SQL for complex data modeling. Proven experience working with time-series and forecast data. Experience with FastAPI, SQLAlchemy, and a rigorous approach to testing with PyTest. Unser Angebot Working in one of the most interesting business contexts; a mixture of energy supply, trading and of course IT! Working in an agile team on topics close to end users. Open and diverse company culture. Work with new and emerging technologies in the cloud. Working with distributed teammates across different locations. Benefits Work-Life-Integration 🏠 Home Office 🅿️ Mitarbeiterparkplatz 🚌 Gute Anbindung ⏰ Flexible Arbeitszeiten 🍼 Kinderbetreuung Mehr Netto 💰 Mitarbeiterprämie 💻 Notebook zur Privatnutzung 🛍 Mitarbeitervergünstigungen Gesundheit, Fitness & Fun 🎳 Team Events ♿️ Barrierefreiheit 🏋🏿‍♂️ Fitness Angebote Essen & Trinken 🍽 Kantine/Betriebsrestaurant Themen mit denen du dich im Job beschäftigst Machine Learning Cloud Computing AI Metadaten Level: Senior Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Energiewirtschaft, Umwelt Ort: Essen | Deutschland

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