Data engineer in machine learning

The Data Science team at XM is seeking a skilled Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.

• Design, develop, and maintain scalable data pipelines for data transformation and preparation.
• Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
• Ensure data quality and consistency across various sources.
• Deploy machine learning models and AI tools to production environments.
• Collaborate with data scientists to improve data models and support business intelligence tools.
• Build and maintain data warehousing solutions.
• Enforce data governance and security policies.
• Work with cross-functional teams to understand data requirements and provide technical solutions.
• Mentor junior data engineers and provide technical guidance.

• MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
• 4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
• Experience with AWS, Google Cloud, or Azure cloud services
• Extensive experience with relational and non-relational databases.
• Proven experience with machine learning.
• Demonstrated experience in big data processing and analytics.
• Strong analytical thinking and problem-solving abilities.
• Effective communication skills to convey data-driven insights.
• Fluency in English Language

• Attractive remuneration package
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous professional development and international training opportunities