Data Science Engineer (f/m/d)
Data Science Engineer (f/m/d)
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Job Description
enmacc is Europes largest over-the-counter trading market venue for energy and environmental commodities. Were reshaping how energy is traded by bringing speed transparency and simplicity to a market thats long relied on outdated processes.
Our platform enables over 600 companies and 2200 professionals to trade power gas Guarantees of Origin emissions allowances and weather derivatives quickly securely and efficiently. Its used by energy suppliers trading houses industrial companies and municipal utilities creating a vibrant network of market participants. By joining enmacc they gain access to more opportunities better liquidity and the tools to accelerate the energy transition. Something were deeply committed to.
Founded in 2016 enmacc is a fast-growing scale-up with a team of 100 people spread across Europe. Were passionate about energy technology and building something that makes a real impact. If youre excited by smart people meaningful work and a dynamic environment we invite you to submit your application below.
Your Mission:
Join us in disrupting the international energy trading market and leave your mark in re-defining how energy traders work!
We are looking for ambitious DS engineers that would like to seize the opportunity to play a major role in shaping the future of intelligence at enmacc building high-impact products powered by machine learning and LLMs. You will report directly to the Head of Platform collaborating closely with product and engineering teams to identify opportunities for introducing intelligence into the energy trading marketplace. Your focus will be on improving upon existing implementations of machine learning identifying opportunities for ML and GenAI and leading data science initiatives to foster both individual and team growth within engineering.
Your Responsibilities / What youll do:
- Take a leading role in driving cutting-edge machine learning initiatives at enmacc setting the direction for how advanced AI technologies like LLMs and Generative AI shape the future of energy trading and beyond.
- End to end ownership of data science products spanning the entire technical workflow and related project management responsibilities - you get a high level of autonomy and the responsibility which comes with it
- Identify common use cases for ML and develop models that can be used Out of the Box by engineers
- Enable the integration of Generative AI models like those for natural language integration which will allow development teams to integrate these capabilities without requiring extensive ML expertise.
- Put the customer/user of your data science product at the centre of your product development - work closely with commercial teams to deeply understand the needs of our customers and derive data science products that will deliver real value
- Advocating Data Science fundamentals in the Development and Product Departments
- Organise knowledge sharing to grow and win together as a team
- Driving collaboration between Platform Product and Engineering teams
Your profile / What youll need:
- Excellent academic background in a quantitative field such as computer science engineering economics etc.
- Strong proficiency in Python and specialised ML libraries (e.g. scikit-learn TensorFlow PyTorch)
- Strong familiarity with Generative AI including experience with different large language models embeddings vector databases and libraries like LangChain or Llamaindex for building and deploying GenAI systems.
- Solid understanding of the benefits and drawbacks of different ML algorithms (incl.Knowledge of deep learning models)
- Experience working with relational/NoSQL databases (e.g. Postgres MySQL DynamoDB)
- Experience working with Docker AWS services (e.g. S3 Athena Glue Cloudformation Bedrock)
- Experience in deploying maintaining and updating models in production as well as tracking experiments leveraging a MLOps approach
- Experience working end-to-end (from ideation to deployment) to deliver production-ready data products
- Experience working with business stakeholders
- Able to work autonomously and in a result-oriented way
Our Offer/ What Youll Get
- Being part of our supportive persistent curious and fun culture!
- Small teams of highly skilled developers
- High autonomy and working with a modern tech stack: Java Kotlin Spring Boot Amazon Web Services Infrastructure As Code Angular Typescript Cypress Docker Gitlab Intellij IDEA
- Our Rapid Prototyping Days and Level Up Days to explore new technologies and prototype your ideas
- Joining a grown-up start-up in the SaaS/energy field
- Entrepreneurial company culture with flat hierarchies
- Modern office spaces in the heart of Munich
- State of the art hardware and software
- Diverse international team that celebrates differences
- Free drinks fruit and coffee as well as special fitness offers
- Hybrid work set-up allowing you to combine working in the office with working from home
- German classes
- Gym membership allowance
- Deutschland Job Ticket
- Learning & Development: a Personal Development Plan along with especially allocated budget and 5 extra days off to further your personal & professional development
- Relocation assistance for international candidates
- Dog-friendly office
Got energy Join us!
Employment Type
Full Time
