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 DevOps 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, BigQuery, 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, BigQuery, Snowflake).

• Experience leading cross-functional technical teams with CI/CD and DevOps best practices.

• Big Data Analytics certification is a plus.