Senior Data Engineer

The Senior Data Engineer is a senior technical role requiring proven experience in designing and operating modern data platforms. The position focuses on building scalable and reliable data pipelines, managing Lakehouse-based architecture, and enabling seamless data integration across cloud and hybrid environments.

• Design, build, and manage modern data platforms based on Lakehouse Architecture.
• Manage large-scale data integration across multi-cloud and hybrid environments.
• Automate data ingestion, transformation, and integration processes (ETL).
• Standardize data sources and build unified data layers.
• Define and manage data ownership in collaboration with stakeholders.
• Ensure performance, reliability, and scalability of data platforms.

• Databricks
• dbt
• Python
• SQL
• APIs

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field from an accredited university.
• A Master’s degree is considered an added advantage.

• Proficiency in English.
• Strong logical and programming skills.
• Ability to learn quickly and handle unexpected technical incidents.
• Strong analytical and problem-solving skills with the ability to work under pressure.
• Strong presentation, communication, and leadership skills.
• Professional certifications such as PMP, CDMP, Agile, or Scrum are considered an advantage.
• Experience or certifications in data and artificial intelligence are a plus.