Data Engineer / Data Scientist

We are looking for Data Scientist or Data Engineer for our client that is a forward-thinking energy company committed to building a sustainable and data-driven future.

Our team is on a mission to transform complex energy systems into intelligent, predictive, and automated solutions using cutting-edge data science and engineering practices.

Join us in shaping the energy transition through innovative technology.

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As a Data Scientist / Data Engineer, you will work at the intersection of data science, software engineering, and cloud infrastructure to build reliable and scalable data pipelines, develop ML models, and contribute to real-time energy predictions and optimizations.

Your responsibilities will include:

• Designing and implementing data pipelines (ETL/ELT) for large-scale processing of structured and unstructured data.

• Developing and deploying machine learning models for forecasting, classification, and optimization tasks in the energy domain.

• Building LLM-augmented tools and contributing to tokenization algorithms that enable smarter data processing.

• Applying data structures, algorithms, and efficient coding practices to ensure high-performance solutions.

• Participating in a culture of MLOps: model versioning, monitoring, CI/CD, and infrastructure-as-code.

• Performing statistical analysis and developing predictive models to support business decision-making.

• Creating data visualizations and interactive dashboards to communicate insights to stakeholders.

• Working in a cloud-first (AWS) environment and collaborating with DevOps and domain experts.

Requirements:

• Proven experience as a Data Scientist, Data Engineer, or similar role.

• Strong skills in Python and knowledge of data structures & algorithms.

• Hands-on experience with ETL frameworks, APIs, and databases (SQL & NoSQL).

• Solid understanding of probability, statistics, and machine learning.

• Familiarity with AWS services.

• Experience with data visualization tools.

• Understanding of MLOps tools and practices (e.g., MLflow, Airflow, Docker, GitOps).

• Interest or experience in tokenization, NLP, or LLM-based systems.

• Strong communication skills and ability to explain technical concepts to non-technical audiences.

  Solid experience withSQL(e.g., PostgreSQL, MySQL) andNoSQLdatabases (e.g., MongoDB, DynamoDB).
  

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  Nice to have:

• Experience in the energy sector or with time series data.

• Knowledge of LLM fine-tuning or integration with enterprise systems.

• Background in software engineering best practices (e.g., testing, CI/CD pipelines).

• Contributions to open-source or relevant ML/data projects.

• Familiarity of a small sized firm and security and possibilities of a large company
• Extra days of vacation
• Contribution to 3rd pillar (individual pension savings) 1 - 2,5%
• Cafeteria bonus
• Employee referral program (up to 5.000 EUR per referral)
• Yearly performance and salary review
• Jubilee gifts
• Flexible working hours
• Free language courses during working hours

Benefits available on-site:
• Comfortable and healthy work environment in a newly built, air-conditioned office space (5-7 workstations per office)
• Free bicycle garage
• Free parking space
• Free kindergarten during school holidays at the workplace
• Fruit days
• Stocked kitchen with free drinks (freshly roasted coffee)
• Massages
• Monthly breakfast club