data engineer in financial services

XM operates in financial services and develops data-driven decision-making and AI solutions across the organization.

• Design, develop, and maintain scalable data pipelines for data transformation and preparation;
• Prepare datasets 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 focused on data engineering and Python software development with Pandas, NumPy, and 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 for conveying data-driven insights;
• Fluent English.

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