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Job Description
Structured overview of role & requirementsAbout This Role
Build and maintain scalable data pipelines and Snowflake-based data solutions integrating financial and operational data from multiple enterprise systems including SAP.
Design and optimize data models and reusable, governed finance data products to support reporting, planning, analytics, and AI across the global finance organization.
Collaborate with finance and IT teams to translate business needs into sustainable data engineering solutions while improving data quality, reliability, and governance.
Minimum Requirements
University degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or related field.
Several years of experience in data engineering or analytics engineering with expertise in large-scale SQL and cloud data platforms like Snowflake.
Strong skills in designing scalable data models and pipelines, with hands-on experience in enterprise data integration and data product governance.
Work Experience Required: Several years (exact duration not explicitly mentioned in the JD).
Ideal Candidate Profile
Experienced data engineer familiar with complex large-scale enterprise datasets and modern cloud data platforms, especially Snowflake.
Ability to navigate and simplify complex data landscapes by integrating data from platforms such as SAP and building trusted, reusable data assets.
Collaborates effectively with finance stakeholders and technical teams to design solutions that meet business and technical requirements in a finance-focused environment.