Additionalinformation

Additional Information

• Competitive remuneration
• Working in a dynamic international team
• High degree of responsibility and independence
• Friendly and modern working environment

Companydescription

Company Description

MET Group is an integrated European energy company, headquartered in Switzerland, with activities in natural gas and power, focused on multi-commodity wholesale, trading and sales, as well as energy infrastructure and industrial assets.

MET Group is represented in 21 countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Czech Republic, Croatia, France, Germany, Hungary, Italy, Poland, Romania, Serbia, Singapore, Slovakia, Spain, Switzerland, The Netherlands, Turkey and Ukraine.

METGroup is present in 33 national energy markets and 44 international trading hubs. The Group has a significant end-consumer presence in Belgium, Croatia, Italy, Hungary, Romania, Slovakia, Spain, and The Netherlands.

METGroup has 1350+ permanent staff. The company is owned 90% by MET employees and 10% by Keppel Infrastructure, a wholly owned subsidiary of Keppel Corporation*.

Jobdescription

Job Description

The MET Demand team is expanding its development capacity in trading analytics and automation, seeking a Medior Python Developer to own key solutions, including the gas algorithmic trading solution (gas algo) and PV aggregator.

The role covers development, maintenance and operation of these solutions, including data processing, business logic, system integrations and production support. Working closely with traders and developers, the candidate will also contribute to Databricks-based data engineering.

The position offers end-to-end ownership, direct business exposure, a modern Azure-based technology stack and the opportunity to work in an AI-native team.

• Develop, maintain and operate the gas algorithmic trading solution (gas algo) in Python
• Take ownership of the PV aggregator: understand the existing codebase, stabilise it and develop it further
• Design and implement data ingestion, transformation and aggregation logic, and pick up Databricks-based data engineering tasks as needed
• Integrate the solutions with internal systems, databases and REST APIs, including existing .NET services
• Write automated tests, take part in code reviews and help keep the CI/CD pipelines in Azure DevOps healthy
• Provide production support by monitoring the solutions, analysing incidents and working with traders on fixes and change requests
• Keep technical documentation up to date, including in Azure DevOps and the team wiki
• Work closely with traders and the wider development team to turn business needs into reliable software
• Use AI tools as a standard part of development, testing and documentation, and contribute to raising the team’s AI standards

Qualifications

• 3–5+ years of professional Python development experience, ideally in a data-intensive environment
• Strong, production-grade Python skills, including clean and maintainable code, typing, packaging, testing and debugging
• Hands-on experience with Python data-processing libraries such as pandas, NumPy or Polars, and with SQL
• Experience building and operating production backend services or data pipelines, including scheduling, logging, monitoring and error handling
• Experience integrating applications with REST APIs and databases, and working with Git, code reviews and CI/CD
• Bachelor’s degree in computer science, engineering, mathematics or a related field, or equivalent practical experience
• Clear written and spoken communication in English, strong ownership and motivation, and the ability to work independently
• Based in Budapest and able to work from the Budapest office; already uses AI coding tools as part of day-to-day development