Technical Data Management Engineer

Primary duties:

• Analyze, implement, execute, and manage the data management lifecycle process.
• Monitoring and reporting on quality of data, implementing and operating data security controls, participating in data conversion and migration efforts.
• Acquire or receive data from internal or external sources.
• Control and monitor data quality to ensure zero defects at source.
• Organize or arrange data in an agreed structure.
• Classify information, so that it can be easily retrieved.
• Store/archive/publish data via designated tools or repositories.
• Find or locate data or enable data retrieval in a useable format.
• Preserve and protect data until closure of litigation, audit or investigation.
• Dispose of data in accordance with Client Standards and Guidelines.
• Train and advise individuals in the correct use of Azure Data stack tools.
• Appraise I&D initiatives against the plan.
• Monitor I&D health, maturity and compliance.
• Participation in Enterprise Data Governance Initiative/Project
• Develop Data Lake/Data Warehouse on Azure Data stack and apply Data Govereance model
• Developennt and provision of Data Architecture documents and artefacts

• Skills and competencies:

• Experience of Data Governance methodologies.
• ERP Data architecture components.
• ERP Data management lifecycle.
• Relevant Oil&Gas business/industry knowledge.
• Experience in development Procedures and Standards for Data Management services.
• Has knowledge of Microsoft and/or SAP Business Intelligence technologies (analytics tools, etc.)
• Has knowledge/experience of Azure Data Lake/Data Warehouse technologies.
• Knowledge and good understanding of Data Architecture

• Education and experience:

• University degree in Computer Science, Information Technology, Information Systems or related discipline
• 3 to 5 years of proven experience in Technical Data Management and use of applicable methodologies, tools and techniques in complex environments
• 3 to 5 years of proven experience in Azure Data Management stack
• At least 3 years of Data Architecture & Data Governance