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Tier-1 brand, mid-level generalist data role in metro with broad Azure/BI requirements.
Core data engineering and Azure/BI skills are transferable, though oil and gas domain knowledge helps.
Mandatory five years plus required Azure, Power Platform, Python, and ETL skills.
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Provide technical support focused on Data Management, Reporting, and Digitalization for Subsurface, Wells, and WRFM domains within asset teams.
Develop and support technical models and digital products/apps by collaborating with business stakeholders and technical teams to deliver high-quality data insights and solutions.
Manage end-to-end data pipelines ensuring data quality and consistency; work with large and complex data sets to meet functional and non-functional business requirements.
Bachelor's degree in Engineering; Petroleum Engineering degree is an advantage.
Minimum 5 years of overall experience with at least 2 years hands-on in digitalization tools such as Power Platform (PowerApps, Power Automate, Power BI), Python, Azure App Services, and SQL; experience with Azure Data Factory, Azure Databricks, Azure Synapse is beneficial.
Experience in data extraction, transformation, and loading (ETL) and handling structured and unstructured data.
Not explicitly mentioned: Notice period requirement.
Experienced in oil and gas data management, particularly familiar with Exploration and Development lifecycle and asset operational contexts.
Able to collaborate across multiple projects and stakeholders, working both with business and IT teams in agile/scrum environments.
Proven capability to translate complex asset requirements into efficient digital applications and data visualizations that drive critical business decisions.