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SR. SYSTEMS ENGINEER (TRADING ANALYTICS)

Full time at Qatar Petroleum in Qatar
Posted on October 12, 2021

Job details

Job Title : SR. SYSTEMS ENGINEER (TRADING ANALYTICS)Reference Code : OG-7001835CompanyQatar Petroleum (QP) 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 QP, 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.QP'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 QP 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 Qatar Petroleum, we are committed to one thing aboveall: Excellence.DepartmentINFORMATION & COMMUNICATION TECHNOLOGYPrimary purpose of jobMember of the IT team in charge of Trading solutions, fully immerse in QP Trading (QPT) departments: • Develop and implement greenfield data architecture and processes within the front office of a global LNG trading organisation 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 visualisation, 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 organisation, 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 QPT 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 constructing and managing large datasets, including database implementation, data scraping and collection, data clean-up, retrieval, and eventual visualisation & reporting • Experienced in construction from scratch of detailed and bespoke economic models which interface with data warehouses • 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 • Expert knowledge of Python, VBA, SQL, and ideally Javascript and web app development • Extensive knowledge and experience in the implementation and use of visualisation and reporting tools and models, ideally within a front office commodities trading environment • Extensive experience developing front office trading tools and models • Knowledge of ETL/ETLS and Data Warehousing concepts and technologies • Ability to implement solutions using Agile methods, including prototyping and tactical solutions to meet the short-term and dynamic needs of the business Education• Academic background in a computing/data science/mathematics/engineering field

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