Senior Data Engineer / Software Engineer (m/f/d) Energy Trading Platform

Why The Mobility House?

• Help shape our vision of an emission-free energy and mobility future
• High level of responsibility and rapid development in a growing and innovative company
• Open, diverse & international team
• Flexible working hours and additiona l vacation days
• Mobile working from home and 20 days in other European countries
• Choice between the latest Apple and Dell IT equipment
• Subsidy for Deutschlandticket job
• Wellpass membership
• Lease of your preferred car and bike via FINN or JobRad
• Corporate volunteering
• Modern office with good public transport connections
• Driving the energy transition to integrate more renewable energy into the energy system
• A role with direct impact on energy trading decisions
• Balanced focus on data engineering, software engineering, and AWS operations
• Ownership over pipelines, services, and dashboards in production
• Modern AWS-native data stack with strong engineering standards
• Close collaboration with trading, analytics, and platform teams
• And much more !

What you do

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.

This role is best suited for senior-level engineers with experience in taking end-to-end ownership of critical data services in production.

• 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
• We care more about strong engineering fundamentals than experience with every specific tool listed

Who you are

• Strong experience in Data Engineering or Software Engineering, focused on data-intensive systems
• Solid understanding of ETL/ELT patterns, workflow orchestration, and data modeling
• Hands-on production experience with Airflow and/or Prefect
• Experience running containerized workloads in production using AWS ECS
• Proficiency in Python, with an emphasis on clean, maintainable, testable code
• Strong SQL skills and experience with relational databases
• Solid working knowledge of AWS services (e.g. ECS, S3, IAM, CloudWatch)
• Infrastructure-as-code experience

Nice to have:

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

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Nov 01, 2026

Posted Nov 01, 2026