1. Role PurposeResponsible for guiding and leading a team of data engineers, ensuring the efficient implementation of advanced solutions in data movement and transformation. Work closely with data architecture to understand and align the strategic and operational objectives of large-scale Oil & Gas (O&G) operations and the Engineering, Procurement, Construction, and Installation (EPCI) phase, promoting innovation and continuous development of the team and data analytics solutions.2. Accountabilities2.1. Key AccountabilitiesLead and support the work of the data engineering team, including but not limited to, problem definition, sizing the impact of the potential use case, data architecture and engineering work, budgeting for solutions, and so on.Manage code conflicts, promoting collaboration among team members to resolve discrepancies and ensure the integrity of the developed code.Investigate potential technical debt, identifying areas that require improvements in the framework, and propose innovative solutions to optimize performance and work quality.Use agile practices and data engineering technologies to rapidly develop innovative and efficient solutions, deploying regular releases and creating appropriate documentation in the field of data engineering.Use DevOps practices to automate the development process, improving the efficiency of activities and reducing human errors, allowing for agility and increased team productivity.Identify and report data issues found in pipelines, effectively collaborating in diagnosing and resolving the issues, in order to ensure the quality and reliability of the information generated.Act as a facilitator in communication between different entities and professionals involved in the project, promoting a collaborative and dynamic environment, and ensuring that information is shared in a clear and efficient manner.2.2. Secondary/Shared AccountabilitiesChampion a culture of data engineering excellence, promoting best practices and continuous improvement within the team.Lead knowledge sharing, training, and change management initiatives related to data engineering.Represent the data engineering function in cross-departmental and strategic initiatives, ensuring alignment with organizational goals.Participate in agile ceremonies, including sprint planning, reviews, and retrospectives.Carry out any additional tasks assigned by the project lead.