In today’s challenging business environment, the source of MariEnergies’ strength and inspiration for future success lies in our human capital. At MariEnergies, we foster value-based HR processes and practices to develop both our human capital and organizational capabilities. This approach has helped us gain a competitive edge by aligning personal aspirations with our corporate vision.

About the Role

We are looking for a skilled and motivated Data Engineer to join our Information Technology team. The ideal candidate will collaborate across departments to design, build, and maintain scalable data pipelines and infrastructure that power our Artificial Intelligence, Machine Learning, Business Inte, and advanced analytics initiatives.

If you have a strong passion for data-driven innovation, analytical excellence, and automation, we invite you to apply and contribute to our growing technology landscape.

Key Responsibilities

• Participate in business analysis activities to translate AI/ML requirements into technical solutions
• Design, develop, and maintain scalable data pipelines for structured and unstructured data
• Integrate and validate data from diverse sources ensuring quality and consistency
• Build and manage data models, lakes, and warehouses to support analytical workflows
• Implement MLOps practices including model deployment, monitoring, and retraining
• Collaborate with cross-functional teams for SAP data management and process automation
• Ensure data governance, security, and performance monitoring across systems
• Explore new technologies and analytics tools to enhance system capabilities
• Carry out assigned tasks and duties in a safe manner to comply with HSE rules/procedures, regulations and codes of practice.

What We’re Looking For

Education: BS/MS in Computer Science or a related field

Experience: Minimum 5 years in ETL, DWH, Data Integration, Dashboard Design, and MLOps

Technical Skills:

• Proficient in Python and SQL
• Familiarity with TensorFlow, PyTorch, Scikit-learn
• Solid understanding of Azure (preferred), AWS, or GCP
• Strong grasp of ETL and DWH design principles