Job Description

Company
QatarEnergy is a state-owned public corporation established byEmiri Decree No. 10 in 1974. It is responsible for all phases
of the oiland gas industry in the State of Qatar.The principal activities of QatarEnergy, its subsidiaries and joint ventures
arethe exploration, production, local and international sale of crude oil,natural gas and gas liquids, refined products,
synthetic fuels,petrochemicals, fuel additives, fertilizers, liquefied natural gas(LNG), steel and aluminium.QatarEnergy's
strategy of conducting hydrocarbon exploration and development isthrough Exploration and Production Sharing
Agreements (EPSA) andDevelopment and Production Sharing Agreements (DPSA) concluded withmajor international oil
and gas companies.The operations and activities of QatarEnergy and its affiliates are conducted atvarious onshore
locations, including Doha, Dukhan and the Mesaieed andRas Laffan Industrial Cities, as well as offshore areas, including
HalulIsland, offshore production stations, drilling platforms and the NorthField.Thriving on a spirit of enterprise, each of our
joint ventures isunderpinned by transparency, innovation and high standards of qualityand service. At QatarEnergy, we are
committed to one thing aboveall: Excellence.
Department
Trading Solutions Team
INFORMATION & COMMUNICATION TECHNOLOGY
Primary purpose of job
QatarEnergy is looking for an experienced Data Engineer in the Trading Solutions team and fully immersed in QatarEnergy
Trading Front Office:

• Develop and implement greenfield data architecture and processes within the front office of a global LNG trading

organization to enable market analysis and trading functionality.

• Design and construct economic models for market analysis and price prediction, implemented primarily in Python & VBA
• Contribute and support data analysis and model outputs to contextualize and employ data in support of LNG trading

activity. Build, maintain, and expand structured databases (MS SQL, Oracle) for the storage and retrieval of global gas &
power pricing and fundamentals data.

• Build bespoke data collection (e.g. API connectivity, FTP, HTML web scraping) tools and connections to a variety of

remote sources, including non-standard (such as non-western language) web sources. Lead construction of visualization,
reporting, and modelling tools (bespoke web applications, Power BI, Tableau) and provide technical expertise to the wider
team in this area.

• Take primary responsibility for driving data quality and integrity standards across the LNG trading organization, driving

processes, standards, and raising general awareness of the importance of world-class data quality throughout the business.

• Provide timely expert and technical support on Trading analytics systems. Contribute as required to IT projects to

implement new or transform existing Trading solutions.

• Document and share knowledge & practices related to Trading analytics systems.
• Apply security measures by following security procedures and standards to ensure secure environment. Manage and

address Trading systems vulnerabilities and threats.
Experience & Skills

• Minimum of 5 years of experience working as a data engineer or front office developer within a commodity trading

environment

• Adept at designing, constructing and managing large datasets, including database implementation, data scraping and

collection, data clean-up, retrieval, and eventual visualization & reporting

• Experienced in construction from scratch of detailed and bespoke economic models which interface with data warehouses
• Extensive experience developing front office trading tools and models
• Extensive knowledge and experience in the implementation and use of visualization and reporting tools and models,

ideally within a front office commodities trading environment

• Strong development skills in Python, C#, VBA, SQL, and ideally Javascript and web app development
• Knowledge of ETL/ETLS and Data Warehousing concepts and technologies
• An understanding of the global Gas and LNG markets as well as related Trading business is strongly preferred.

Knowledge and experience dealing with LNG/G&P data types & sources.

• Ability to implement solutions using Agile methods, including prototyping and tactical solutions to meet the short-term and

dynamic needs of the business

• Excellent stakeholder management skills, at a variety of organizational levels.
• Excellent written and verbal communications skills
• Self-reliance and self-sufficiency; willingness to help build a business from the ground upwards in a phased manner but

with quick short-term solutions essential for success.

• Strong delivery focus is critical.

Education

• Bachelor's degree in a computing/mathematics/engineering/data science field