Senior Data Engineer (ML & AI Focus)Verified as a real position

Who we’re looking for

• 3+ years in Data Engineering, Backend Engineering, or similar roles
• Experience working with data-driven systems in production environments
• Strong Python skills (data processing + ML integration)
• Solid SQL knowledge (performance optimization is important)
• Experience with ETL/ELT pipelines, workflow orchestration, and data modeling
• Familiarity with distributed or large-scale data systems
• Experience with systems like Vertica, PostgreSQL, or similar analytical databases
• Understanding of ML workflows (training, validation, deployment)
• Experience working with time-series or predictive models is a plus
• Experience with AWS or similar cloud platforms
• Understanding of cost-efficient and scalable system design
• Strong problem-solving skills
• Product-oriented thinking (building systems that are actually used)
• Ability to work in fast-paced environments

What you’ll do

• Design, build, and maintain scalable data pipelines and architectures for large-scale structured and unstructured data.
• Work closely with data scientists to deploy and operationalize machine learning models into production systems.
• Optimize data storage and querying performance (high-frequency, large-volume datasets).
• Implement validation, monitoring, and alerting systems to ensure high data quality and system reliability.
• Own the full lifecycle: data ingestion → transformation → model integration → production deployment.
• Collaborate with traders, analysts, and engineers to translate business needs into scalable data solutions.
• Automate repetitive workflows and build standardized pipelines for analytics and reporting.

About the position

Greenland Commodities is a science and technology-driven trading house based in Prague, operating across European energy markets. We combine deep market expertise with strong engineering and data capabilities to build real-time, production-grade analytics systems that directly support trading decisions. Our engineering team works closely with traders and analysts to transform complex data into reliable, scalable, and actionable insights.

Benefits

• Competitive salary and benefits package
• A fast-paced, engineering-driven environment
• Direct impact on real trading systems
• Collaboration with traders, data scientists, and engineers
• 4 weeks vacation + 1 extra week
• 3 sick days + 1 birthday leave
• Meal support & public transport contribution
• Modern office in central Prague