Big Data Engineer SPV level

If you are passionate about working at a high-value company with the oil & gas industry
, collaborate with industry-leading experts, and be part of an environment where your contributions truly matter, this is an opportunity you don’t want to miss. Step into a role where challenge meets growth, and where your skills can make a real difference.

• Lead technical teams consisting of Data Engineers, Data Scientists, and Dashboard Engineers.
• Design end-to-end Big Data architecture, from data ingestion, processing, storage, to analytics and visualization
• Develop and maintain data pipelines using SQL, Python, R, Apache Airflow, SSIS, or similar platforms.
• Apply Dev Ops and CI/CD best practices for Big Data projects.
• Manage and optimize Big Data platforms and cloud services (AWS, GCP, Azure), including lakehouse technologies such as Delta Lake, Big Query, or Snowflake.
• Use BI tools (Power BI, Tableau) for basic dashboard creation and visualization.
• Collaborate with teams and stakeholders to understand business needs and ensure data solutions support decision-making.
• Mentor team members and ensure technical development standards, code quality, and documentation are met
• Ensure data security, governance, and compliance standards are adhered to.

• Bachelor's degree with minimum 2 years of experience in Big Data Analytics.
• Involvement in at least 2 full-cycle projects as Full Stack Developer in Data Analytics/Data Science.
• Proficient in BI tools (Power BI, Tableau).
• Proficient in SQL, Python, R, Apache Airflow, SSIS, AWS, Databricks, Azure Data Factory, or similar.
• Able to design end-to-end Big Data architecture: ingestion, processing, storage, analytics, visualization.
• Experienced in Big Data platforms & cloud services (AWS, GCP, Azure) and lakehouse technologies (Delta Lake, Big Query, Snowflake).
• Experience leading cross-functional technical teams with CI/CD and Dev Ops best practices.
• Big Data Analytics certification is a plus.