Data Scientist / Data Engineer

IT-Impulse is expanding to Bulgaria, with an office in Sofia, where we are building a local team of IT specialists. We represent a Software Engineering division of the international company JobImpulse GmbH with more than 9.000 employees in 51 locations in 12 countries. We act as an intermediary between the IT software development department and highly qualified IT specialists on the job market.

IT-Impulse’s offices in Seville (Spain) and Kosice (Slovakia) are the point of contact for IT Outsourcing and Nearshoring.

Job description, responsibilities and duties:

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.

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 with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB).

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.

What you get:

• Long-term and stable position, an employment contract for an indefinite period
• Environment of a medium-sized company together with the background and opportunities of a large company
• +5 extra days of vacation
• Employee referral program (up to 3.000 EUR per referral)
• Yearly performance and salary review
• Jubilee gifts
• Flexible working hours
• Home office
• Stocked kitchen with free drinks (freshly roasted coffee)

Could you please send us your CV and other attachments in English only?