Senior Data Engineer / Software Engineer

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du Datenpipelines und lange laufende Dienste auf AWS, um große Mengen von Energiedaten zu verarbeiten und entscheidungsrelevante Dashboards zu unterstützen. Job Zusammenfassung In dieser Position entwickelst du Datenpipelines und lange laufende Dienste auf AWS, um große Mengen von Energiedaten zu verarbeiten und entscheidungsrelevante Dashboards zu unterstützen. Deine Rolle im Team We are looking for a Data Engineer / Software Engineer to build and operate an energy trading platform that supports energy trading, analytics, and decision-making. This role sits at the intersection of data engineering and software engineering, with ownership of scalable services and data pipelines running on AWS. In this role, you will design, implement, and maintain data pipelines and long-running services that process large volumes of energy market data. You will work closely with traders, analysts, and other engineers to ensure that critical data is available, accurate, and timely for dashboards and decision-making tools. Develop and maintain containerized services deployed on ECS. Build and orchestrate workflows using Airflow and/or Prefect. Apply software engineering best practices: modular design, testing, CI/CD, code reviews, and versioning. Design and maintain analytics-ready data models tailored to trading, risk, and performance reporting. Collaborate with traders, analysts, and engineers to define metrics, KPIs, and data contracts. Connect curated datasets to dashboards and BI tools (e.g., Grafana). Ensure data correctness, timeliness, and availability for business-critical dashboards. Implement monitoring, alerting, retries, and backfills for pipelines and services. Optimize performance, scalability, and cost across AWS components. Document systems, services, and data models to support self-service analytics. Unsere Erwartungen an dich Qualifikationen Solid understanding of ETL/ELT patterns, workflow orchestration, and data modeling. Proficiency in Python, with an emphasis on clean, maintainable, testable code. Solid working knowledge of AWS services (e.g. ECS, S3, IAM, CloudWatch). Familiarity with time-series data, market curves, and forecast data. Knowledge of AWS-native streaming tools (Kinesis). Exposure to quantitative, forecasting, or optimization systems. Erfahrung Strong experience in Data Engineering or Software Engineering, focused on data-intensive systems. Hands-on production experience with Airflow and/or Prefect. Experience running containerized workloads in production using AWS ECS. Strong SQL skills and experience with relational databases. Infrastructure-as-code experience. Nice to have: Experience in energy trading, power markets, commodities, or financial markets. Experience operating streaming systems for market or operational data. Practical experience with Apache Spark and/or Apache Flink. Experience with data observability, quality checks, and SLAs. Benefits Gesundheit, Fitness & Fun 🚲 Jobrad 🏋🏿‍♂️ Fitness Angebote 🎳 Team Events Mehr Netto 📱 Handy zur Privatnutzung 💻 Notebook zur Privatnutzung 🍰 Mitarbeiterbeteiligung 👴🏻 Betr. Altersvorsorge Work-Life-Integration 🏝 Extra Urlaubstage 🏠 Home Office ⏰ Flexible Arbeitszeiten Themen mit denen du dich im Job beschäftigst Cloud Computing AI Big Data Metadaten Level: Senior Job Feld: Data, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Energiewirtschaft, Umwelt Ort: München | Deutschland

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