Senior Data Engineer (Data, Analytics & AI)

We are looking for an experienced Senior Data Engineer to join a global Data, Analytics & AI initiative focused on building scalable data solutions that support enterprise reporting, analytics, and operational applications. In this role, you will design and maintain robust data pipelines, transform complex datasets into trusted business-ready products, and expose data through APIs for downstream consumers.

You will work in a modern cloud environment alongside data analysts, software engineers, and business stakeholders to deliver reliable, secure, and scalable data products.

• 5+ years of experience in Data Engineering.
• Minimum 2 years of hands-on experience with Snowflake in production environments.
• Strong experience designing ETL/ELT pipelines and implementing complex data transformations.
• Advanced SQL skills and solid Python experience for data engineering tasks.
• Experience with orchestration tools such as Apache Airflow, dbt, Prefect, or similar.
• Strong understanding of data warehousing concepts, query optimization, partitioning, clustering, and cost management.
• Experience building and maintaining REST APIs (FastAPI or similar frameworks).
• Experience with Git-based workflows and CI/CD pipelines.
• Familiarity with cloud environments (AWS).
• Ability to work closely with technical and business stakeholders in an Agile environment.

Nice to Have

• Experience working with financial or ERP data.
• Knowledge of SAP (S/4HANA, BW4) or other ERP platforms.
• Experience with data governance or metadata management tools.
• Familiarity with dimensional modelling, Data Vault, or medallion architecture.
• Experience in regulated industries such as finance, life sciences, or healthcare.
• Exposure to BI tools such as Tableau or similar platforms.