Software Engineer / Data Engineer

Our client, a company in Munich, is seeking 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 and includes responsibility for scalable services and data pipelines on AWS.

In this role, you will design, implement, and maintain data pipelines and long-lived 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 accurate, available, and delivered in a timely manner for dashboards and decision-support tools., * Develop and maintain containerized services deployed on ECS

• Build and orchestrate workflows using Airflow and/or Prefect
• Apply software engineering best practices, including modular design, testing, CI/CD, code reviews, and version control
• Design and maintain analytics-ready data models for 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 accuracy, freshness, 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

• Extensive experience in data engineering or software engineering, with a focus on data-intensive systems
• Strong understanding of ETL/ELT patterns, workflow orchestration, and data modeling
• Hands-on production experience with Airflow and/or Prefect
• Experience operating containerized workloads in production using AWS ECS
• Excellent Python skills, with a focus on clean, maintainable, and testable code
• Strong SQL skills and experience with relational databases
• Solid hands-on knowledge of AWS services (e.g., ECS, S3, IAM, CloudWatch)
• Experience with Infrastructure as Code
• Fluent English language skills spoken and written

Nice to have (preferred):

• Experience in energy trading, power markets, commodities, or financial markets
• Familiarity with time series data, market price curves, and forecast data
• Experience operating streaming systems for market or operational data
• Hands-on experience with Apache Spark and/or Apache Flink
• Knowledge of AWS-native streaming tools (e.g., Kinesis)
• Experience with data observability, data quality checks, and SLAs
• Exposure to quantitative, forecasting, or optimization systems

• Modern office in Munich with hybrid working option with Office Minimum 2 days/week and rest remote possible (living in Germany/valid Visa Status)
• Unlimited Permanent employment in very modern Company and with modern technology of the future
• Flat hierarchies, dynamic teams (national and international), close cooperation and creative freedom
• Trust working time, which is organized in teams
• Company pension, 30 days holiday, discounted fitness studio conditions
• Training opportunities etc.