Data Engineer

How You’ll Make An Impact

• Build and maintain data pipelines in Snowflake using SQL and Python
• Support Python-based ETL workflows and migration from legacy tools
• Contribute to data modeling and ensure clean, well-documented datasets
• Support development of Power BI and Streamlit data applications
• Use AI-assisted development tools to improve coding, testing, and documentation
• Collaborate with engineers, product owners, and stakeholders in Agile sprints
• Follow GitLab best practices including version control, code reviews, and testing

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What You Bring

• Working proficiency in SQL for data querying, transformation, and modeling
• Foundational Python skills for data manipulation, scripting, and automation
• Exposure to cloud data platforms (Snowflake preferred or equivalent)
• Basic experience with Power BI or similar BI tools
• Familiarity with version control systems (Git or equivalent)
• Exposure to Streamlit or Python-based data applications is a plus
• Understanding of SAP data structures (S/4HANA, EPM+, SAP Analytics Cloud) is an advantage
• Hands-on experience with AI coding tools (e.g., GitHub Copilot, Cursor, or similar)
• Curious and growth-oriented mindset toward adopting AI in software development
• Interest in finance data and understanding business context behind analytics
• Ability to engage with stakeholders and translate requirements into solutions
• Exposure to Agile methodologies and sprint-based delivery
• Strong documentation practices and attention to detail
• Excellent written English communication skills in a global team setup
• Collaborative mindset with eagerness to learn and grow
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
• 1–3 years of experience in data engineering, analytics, or related roles (internships included)
• Strong learning mindset with commitment to continuous improvement

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