Master Data Governance Engineer

Responsible for the end-to-end analysis configuration development testing delivery and support of SAP Master Data Governance solutions. The role combines SAP MDG functional expertise with hands-on ABAP development with a primary focus on Finance Master Data and the ability to deliver assigned work within defined standards methods and priorities. SAP MDG provides change-request-based processing with integrated workflow staging approval activation and distribution; the current backfill intent specifically requires engineers who can perform MDG functional development and testing activities end to end.

• Analyze business requirements user stories process flows data attributes and interface mappings translating them into clear SAP MDG functional and technical solutions.
• Configure and enhance SAP MDG capabilities including data models change requests workflows user interfaces validations derivations business rules and replication settings
• Design develop and unit-test low- to medium-complexity SAP MDG custom solutions using ABAP including enhancements BAdIs service or proxy extensions reports and background-processing logic where required.
• Prepare functional and technical specifications solution documentation effort estimates dependencies acceptance criteria and implementation instructions for assigned work packages.
• Plan and execute unit functional system integration regression and defect-validation testing; maintain test evidence and support business or user-acceptance testing.
• Troubleshoot MDG configuration ABAP workflow data-quality replication and integration issues across development testing deployment and production-support activities.
• Support master-data governance and quality controls through field validation derivation rules duplicate prevention reference-data alignment mapping checks reconciliation and corrective-action analysis.
• Collaborate with integration engineers on inbound and outbound SAP interfaces including message mapping error handling acknowledgments monitoring and controlled replication using relevant SAP integration patterns.
• Maintain accurate solution designs configuration records code documentation test scripts deployment information runbooks and support knowledge.
• Work with product owners business stakeholders architects developers testers data teams and integration teams to deliver prioritized backlog items on time and in accordance with architecture governance quality and engineering standards.

Required Qualifications Experience and Skills

• Hands-on experience delivering SAP MDG solutions with a combination offunctional analysis MDG configuration technical development testing and support.
• Mandatory Finance Master Data knowledge including practical understanding of representative objects such as Chart of Accounts and G/L Accounts Cost Centers Profit Centers Trading Partners financial reporting structures hierarchies and related reference or master data.
• Experience withVendor Material and/or Customer Master Data including the relevant SAP MDG business processes data models workflows validations extensions and replication patterns.
• Knowledge of SAP integration technologies and patterns such asSAP PO/PI SAP Integration Suite/CPI APIs IDocs SOAP or proxy services enterprise services and the SAP Data Replication Framework or equivalent SAP integration approaches
• Strong ABAP development skills are required including the ability to analyze develop debug test and support low- to medium-complexity custom MDG solutions. Internal resource planning identifies both MDG functional and MDG ABAP engineering capabilities while current delivery discussions explicitly reference ABAP MDG work for custom fields and enhancements.
• Experience producing functional and technical specifications and translating business requirements into maintainable configuration and code.
• Strong testing and troubleshooting capability across MDG configuration ABAP developments workflows master data interfaces and downstream processing.
• Sound analytical problem-solving communication and documentation skills with the ability to deliver assigned activities within defined guidelines and collaborate effectively across functional and technical teams.
• Practical experience usingapproved AI-assisted toolsto improve requirements analysis development code review test-case creation documentation troubleshooting knowledge retrieval and day-to-day productivity.

Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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CORE SKILLSData Integration and ETL (Extract Transform Load) practices: Combining data from different sources into a single unified view and the process of extracting data from sources transforming it into a suitable format and loading it into a destination Level: ProficientData Analysis: The process of inspecting cleansing transforming and modeling data to discover useful information draw conclusions and support decision-makingProficiency Level: ProficientData Processing Frameworks: Tools and libraries used to process large data sets efficiently such as Apache Hadoop and Apache Level: FoundationalProgramming: Writing code to manipulate analyze and visualize data often using languages like Python R and Level: ProficientData Modelling: The process of creating a data model for the data to be stored in a database representing the data structures and their Level: ProficientData Quality Management: Ensuring that data is accurate complete reliable and relevant for its intended Level: ProficientSPECIALIZED SKILLSData Management: The development and execution of architectures policies practices and procedures to manage the data lifecycle needs of an Data Technologies: Tools and techniques used to process and analyze large and complex data sets that traditional data-processing software cannot handleDatabase Design and Management: The process of designing implementing and maintaining a database system to ensure data is stored efficiently and Visualization: The graphical representation of data to help people understand complex data sets and derive Security: Protecting data from unauthorized access use disclosure disruption modification or Storage solutions: Systems and technologies used to store data such as databases data warehouses and cloud Governance and Compliance: The management of data availability usability integrity and security in an organization based on internal data standards and policies. Ensuring that an organization adheres to external regulations and internal policies managing risk and maintaining ethical standardsTechnical Documentation: Creating and maintaining documentation that explains the functionality use and maintenance of software or Architecture: The design and structure of data systems ensuring that data is stored managed and utilized efficientlyCI/CD & Observability: The use of continuous integration and continuous delivery (CI/CD) pipelines to automate the process of software development including building testing and deploying codeDefinition of Proficiency Levels:Foundational: This is the entry level of the skill typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support coaching and training as you build the capability to progress to higher proficiency : This is the level at which you are considered effective in the skill. You demonstrate more than just functional competenceyou begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support coaching or training to apply the skill : This is the level where you move beyond meeting expectations to actively leading influencing and delivering considerable impact across the wider business. You are seen as a role model demonstrate the skill independently and require little to no manager support.