Data Engineer

Job responsibilities:

• Lead the end-to-end migration journey from on-premises data systems to a cloud-based architecture, ensuring scalability, security, and performance of the new environment.

• Design and implement data ingestion pipelines to move structured and unstructured data into the enterprise Data Lake, enabling integration across multiple business domains.

• Define and maintain data models across Bronze, Silver, and Golden layers to support analytics, reporting, and data science use cases.

• Collaborate with cross-functional teams and external vendors to align on architecture, technical design, and project milestones, ensuring timely and quality delivery.

• Establish and enforce data governance standards, including data quality, lineage, and access management, in partnership with the global data governance team.

• Document key data processes and structures, creating reusable templates and technical assets for long-term sustainability.

• Monitor and optimize data pipelines for performance, cost efficiency, and reliability after go-live, including automation and incident management.

• Act as the main data expert for the cluster, supporting business and digital teams with access to trusted data in Silver and Golden layers.

• Ensure data compliance with internal security, privacy, and retention policies, as well as relevant local and global regulations.

• Contribute to the data strategy roadmap, identifying opportunities to enhance the overall data architecture and accelerate digital transformation initiatives.

• Master’s or Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related analytical field — or equivalent practical experience.

• 5+ years of professional experience in data engineering, large-scale data migrations, or big data platform implementation projects.

• Strong expertise in data architecture and modeling, including best practices in data structuring, transformation (ETL/ELT), and pipeline optimization.

• Proven experience in data governance frameworks, encompassing data quality management, metadata, lineage, and access controls.

• Hands-on experience with cloud-based data platforms, preferably Azure (e.g., Data Lake, Data Factory) or AWS equivalents (e.g., S3, Redshift, Glue).

• Understanding of data lake and data warehouse architecture principles, including layered data design (Bronze, Silver, Golden).

• Strong stakeholder management skills, with ability to collaborate effectively across IT, Digital, and Business functions in a cross-matrixed organization.

• Excellent analytical, communication, and documentation skills, with a structured approach to problem-solving and delivery.

• Experience working with vendors or external implementation partners is a strong advantage.

• Work with over 130,000 diverse and talented Associates, all guided by the Five Principles
• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today
• Best-in-class learning and development support from day one, including access to our inhouse Mars University.
• An industry competitive salary and benefits package, including company bonus