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

Are you a good fit for us?

Diversity enriches our team and makes us stronger. Regardless of origin, gender, age, sexual orientation, religion, or any disability – everyone is welcome here! We look forward to receiving your application and achieving great things together.

Your contact person

Vanessa

<[email hidden]>