AI & Data Science Engineer : Crude & Products Oil Trading with Global Energy Co
Posted 7 days ago by Eaglecliff Recruitment
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: Exciting opportunity for an AI & Data Science Engineer with expertise in Energy & Commodities Trading to join a Global Energy Company. The role involves converting Vision and Data Strategy into IT solutions for a new trading project, requiring effective communication with technical and business stakeholders. The position emphasizes the delivery of Data Foundation initiatives and the management of change processes to enhance implementation efficiency.
Key Responsibilities:
- Communicate with technical developers and business managers to gain respect and trust.
- Deliver the roll-out and embedding of Data Foundation initiatives in support of key business programs.
- Coordinate change management, incident management, and problem management processes.
- Ensure traceability of requirements from Data through testing and scope changes to training and transition.
- Drive implementation efficiency and effectiveness across pilots and future projects.
Key Skills:
- Experience in AI and Data Science within Energy & Commodities Trading.
- Proficiency in Azure, Azure Data Factory, Azure Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTest.
- Strong communication skills for engaging with technical and business stakeholders.
- Ability to manage change and ensure effective implementation of data initiatives.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Exciting opportunity for an AI & Data Science Engineer with a background in Energy & Commodities Trading to join this Global Energy Company. As a Senior Data engineer, you are a key person to convert Vision and Data Strategy for IT solutions and deliver them as part of a new exciting trading project.
Responsibilities:
- Communicate with both technical developers and business managers and gain respect and trust of leaders and staff.
- Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.
- Coordinate the change management process, incident management and problem management process.
- Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
- Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery.
Technologies: Azure, Azure Data factory and Azure Databricks SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest
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