Senior data analyst (Visa, flight and accomadtion included)

Location: Qatar – Doha

Company: Qatar Energy

QatarEnergy is a state-owned energy company in Qatar, involved in all aspects of the oil and gas industry, from exploration to sales and delivery. It is the world’s largest provider of Liquefied Natural Gas (LNG). The company is a key player in Qatar’s energy transition and is committed to sustainable development. 

Role: Senior data analyst 

Duties:

• Design, develop, and maintain data infrastructure and systems for storage, processing, and analysis.

• Build and manage efficient, scalable data pipelines for seamless data integration, transformation, and delivery.

• Ensure reliable data ingestion into QatarEnergy’s data repositories (e.g., Digital Data Platform, Data Warehouse).

• Enable data availability for visualization, analytics, and digital use cases across the organization.

Technical & Operational Accountability:

• Design, build, and review data integration pipelines to support business needs.

• Operate and optimize data workflows to ensure performance and reliability.

• Apply data governance principles (e.g., data quality, security) across repositories.

• Align with data governance, architecture, security policies, and overall business strategy.

Collaboration & Compliance:

• Work closely with QatarEnergy business units to enforce data governance practices.

• Partner with cross-functional teams (data architects, analysts, security teams) to ensure compliant and efficient data solutions.

• Continuously improve data pipelines and systems based on evolving business requirements.

Requirement: 

• 8+ years’ experience in Oil & Gas, with a strong understanding of Upstream & Downstream data requirements.

• 5+ years in data management, including:

  • Data integration, modeling, optimization, and quality.

  • Building and maintaining scalable data pipelines.

Technical Expertise:

• Apache stack: Kafka, Airflow, Spark (for scalable data pipelines).

• Data platforms & concepts:

  • Data discovery, visualization, warehousing, governance (datalogging, profiling, stewardship, quality).

  • Database technologies: SQL & NoSQL.

• Microsoft Azure cloud services:

  • Hands-on experience with ADLS, Azure Synapse, Azure SQL, Azure Databricks.

• ETL, APIs, algorithms, data structures, and BI tools (Power BI).

• Programming & data science tools:

  • Strong in Python, Java, or C/C++.

  • Proficient in SQL, R, SAS, or Excel.

Key Skills & Abilities:

• Problem-solving: Quick decision-making and troubleshooting for efficient project implementation.

• Data architecture & modeling: Understanding of integration patterns and best practices.

• Continuous learning: Ability to adopt new technologies quickly.

• Debugging & maintenance: Identifying and resolving data issues.

• Communication: Effectively collaborate across all organizational levels and diverse teams.

• Security & architecture awareness: Knowledge of application architecture & information security principles.

Educational Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related quantitative field.

• Master’s degree preferred.

How to apply:

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