Data Engineer with Databricks

A leading platform transforming capital projects and operations with a focus on energy transition, leveraging 30 years of software expertise and 180 years of industrial legacy.

Responsibilities:

• Design, build, and maintain data pipelines using Python.
• Collaborate with an international team to develop scalable data solutions.
• Troubleshoot and debug system issues (Tier 2).
• Create and maintain documentation, checklists, and workflows.
• Set up and configure new tenants for smooth onboarding.
• Write integration tests to ensure data quality.
• Manage code using Gitlab and process data in Databricks.

Requirements:

• 3-4 years of experience as a data engineer or similar role.
• Advanced Python skills for production-grade data pipelines and bug fixing.
• Familiarity with cloud platforms (preferably Azure).
• Experience with Databricks, Snowflake, or similar platforms.
• Strong knowledge of SQL and relational databases.
• Experience with Apache Spark and testing frameworks.
• Proficient in Gitlab and documentation.
• B2 level English proficiency.
• Strong collaboration skills and experience working in international teams.

Nice to Have:

• Experience with Docker and Kubernetes.
• Familiarity with document/graph databases.
• Willingness to travel for on-site workshops.