Support the design, development, and maintenance of master data models that ensure the accuracy and consistency of key business data across systems. Collaborate with senior team members to model data structures and optimize data flow, supporting various departments such as finance, sales, and operations. This position is ideal for someone with a passion for data modeling, a keen eye for detail, and a desire to grow in data management and governance.
Responsibilities- Assist in the design and development of master data models for master domains such as customer, assets, supplier, and financial data.
- Help create and maintain data models (conceptual, logical, and physical) that align with business needs and data governance policies.
- Ensure the accuracy and integrity of master data by supporting data modeling standards and best practices.
- Analyze data from various sources to support data modeling decisions and validate the accuracy and completeness of master data.
- Perform basic data profiling and quality checks to identify patterns, anomalies, and potential improvements in data structures.
- Collaborate with data quality and data governance teams to ensure consistency across systems.
- Assist in designing data flow diagrams and documenting data mappings between different systems.
- Work with data engineers and system architects to integrate master data models with existing databases and applications.
- Support the creation of data management workflows that optimize data retrieval, storage, and reporting processes.
- Help maintain documentation for master data models, including data definitions, relationships, and lineage.
- Prepare reports and presentations on data modeling findings and recommendations to stakeholders and team members.
- Contribute to the development of metadata repositories and data dictionaries to support enterprise data governance.
Location: This position can be located in Rio de Janeiro, Niterói or Macaé.
This opportunity covers disabled or rehabilitated people.
QualificationsRequired Qualifications
- Bachelor’s degree in data management, Information Systems, Computer Science, or a related field.
- Relevant coursework or project experience in data modeling, databases, or data management is a plus.
- Basic understanding of data modeling concepts (e.g., entity-relationship models, dimensional modeling) and database structures.
- Familiarity with data modeling tools such as Erwin, IBM InfoSphere Data Architect, SAP PowerDesigner, or similar tools.
- Proficiency in SQL for querying databases and understanding relational data structures.
- Some exposure to data governance principles, master data management (MDM), and data integration processes.
Desired Qualifications
- Hands-on project experience in data modeling, data management, or database design.
- Experience working with relational database management systems (RDBMS) such as Oracle, SQL Server, or MySQL.
- Familiarity with metadata management and data dictionary tools is a plus.
Skills Required
- Bachelor's degree in Data Management, Information Systems, Computer Science, or related field.
- Relevant coursework or project experience in data modeling, databases, or data management.
- Basic understanding of data modeling concepts (entity-relationship, dimensional modeling) and database structures.
- Familiarity with data modeling tools such as Erwin, IBM InfoSphere Data Architect, SAP PowerDesigner, or similar tools.
- Proficiency in SQL for querying databases and understanding relational data structures.
- Exposure to data governance principles, master data management (MDM), and data integration processes.
- Hands-on project experience in data modeling, data management, or database design.
- Experience with RDBMS such as Oracle, SQL Server, or MySQL.
- Familiarity with metadata management and data dictionary tools.
Oceaneering Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Oceaneering and has not been reviewed or approved by Oceaneering.
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Healthcare Strength — Healthcare offerings are portrayed as comprehensive, including private medical insurance and broad medical, dental, and vision coverage tailored to local markets. In several contexts, coverage is characterized as good to outstanding.
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Retirement Support — Retirement programs include pension/retirement plans and a U.S. 401(k), which are consistently highlighted as part of a competitive package. These elements are described as contributing meaningful value to overall compensation.
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Leave & Time Off Breadth — Leave programs include PTO/vacation, paid holidays, and paid sick leave, with annual leave emphasized globally. Time-off provisions are noted as a steady component of total rewards even when salary opinions differ.
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What We Do
Oceaneering pushes the frontiers of deep water, space and motion entertainment environments to execute with new, leading-edge connections to solve tomorrow’s challenges, today. As the trusted subsea connection specialist, our experience combined with the depth and breadth of our portfolio of technologies allows us to engineer solutions for the most complex subsea challenges. From routine to extreme, our integrated products, services, and innovative solutions safely de-risk operational systems, increase reliability, and enable a lower total cost of ownership. We are connecting what’s needed with what’s next as the world’s largest ROV operator and the leading ROV provider to the oil and gas industry with over 300 systems operating worldwide. With our safety-focused and innovative approach, we responsively and decisively react to subsea challenges while providing solutions swiftly and efficiently.
