Lead Expert Data AI Engineer

Your key responsibilities:

• Lead the design and implementation of scalable data pipelines for data ingestion, transformation, and storage.
• Provide technical guidance, evaluate project feasibility, and drive engineering best practices across initiatives.
• Develop high-quality, modular data solutions using modern data engineering tools and frameworks.
• Manage data integration and ETL processes from multiple source systems to enterprise platforms.
• Ensure data quality, reliability, and performance through automated testing, monitoring, and continuous improvement.
• Collaborate with data scientists, modelers, BI developers, stewards, and business stakeholders to deliver impactful outcomes.

We offer:

• Opportunity to lead global finance operations at scale
• Exposure to senior leadership and strategic decision-making
• A culture focused on continuous improvement and innovation
• Career growth in a transformation-driven environment
• Collaborative and inclusive global work environment
• Access to modern ERP systems and digital finance tools

You bring:

• 5+ years of experience building and maintaining enterprise-scale data pipelines and data platforms.
• Strong expertise in SQL, Python, PySpark, dbt, Databricks, Git.
• Hands-on experience with cloud platforms (Azure or AWS), CI/CD implementation, and infrastructure-as-code practices.
• Proven ability to deliver scalable, reliable, and well-documented solutions with strong testing and automation practices.
• Excellent problem-solving, stakeholder management, and cross-functional collaboration skills.
• Demonstrated leadership experience in team management, project delivery, and driving technical excellence; exposure to scientific datasets, FAIR principles, or data governance is a plus.
•