Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines and long-running services on AWS to process large volumes of energy data and support decision-relevant dashboards.
Job Technologies
Your role in the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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).
- Vertrautheit mit Zeitreihendaten, Marktkurven und Prognosedaten.
- Knowledge of AWS-native streaming tools (Kinesis).
- Exposure to quantitative, forecasting, or optimization systems.
Experience
- 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.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
More net
- 📱Company Phone for Private Use
- 💻Company Notebook for Private Use
- 🍰Employee Stock Option
- 👴🏻Company Retirement Provision
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
The Mobility House GmbH
The Mobility House is working to create a future without emissions from energy and mobility. Our technology connects the automotive and energy industries. We integrate vehicle batteries into the power grid through smart charging and energy solutions.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2009
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Senior Data Engineer/Software Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
