The client is a global leader in the energy industry, specializing in subsea and surface technologies. The project involves building and maintaining advanced data architecture on both cloud and on-premise platforms using technologies such as Snowflake, dbt, SQL, SAP BW, and AWS S3.

Lead Data Engineer

Twój zakres obowiązków

• Design, implement, and maintain data architecture across cloud and on-premise platforms.
• Develop and optimize ETL/ELT pipelines using tools like Informatica, Talend, Attunity, and WebMethods.
• Collaborate with data scientists, analysts, and business teams to ensure data availability, usability, and governance.
• Define and enforce best practices in data modeling, version control (GitHub), and CI/CD workflows.
• Integrate complex data sources from systems like SAP, Oracle, Microsoft BizTalk Server, and REST APIs.
• Drive improvements in data quality, metadata management, and lineage tracking using tools such as Alation.
• Ensure data security and regulatory compliance in collaboration with information security teams, utilizing tools like Azure Information Protection, OneTrust, and Vanta.
• Participate in the evaluation and implementation of emerging data technologies and tools.

Nasze wymagania

• Minimum 6 years of experience in data engineering roles, including experience leading technical teams.
• Experience in creating ETL pipelines.
• Experience with Databricks (preferable).
• Knowledge and hands-on experience with Generative AI (nice to have).
• Background in energy, engineering, or manufacturing sectors (oil and gas experience preferred, followed by experience in physics, mathematics, or energy; data engineering experience is also acceptable).
• Fluent in English (C1 level or higher).