Data & AI Stibo MDM Data Consultant
About The Position
We are: The Advanced Technology Centers (ATCs) is the engine for reinvention in our clients' transformation journey. Powered by more than 255,000 people across 24 countries, ATCs will provide our clients seamless access to industry insights and innovative technology solutions. Stronger together! The Advanced Technology Centers (ATCs) make tremendous impact in solving our clients' business problems leveraging Innovation, Intelligence, Industry insights, new IT and new technology skills. Now, with the global environment changing at a faster pace, our clients are facing unprecedented challenges and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients. The value for our clients and our people For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world. For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world's most complex client challenges. You are: A skilled Data Engineer with deep expertise in Microsoft Azure Data Services and Stibo Master Data Management (MDM) solutions, capable of designing, building, and optimizing modern data pipelines and platforms. You enable organizations to collect, store, process, and operationalize data at scale through secure, well-architected cloud solutions. The Work: There will never be a typical day and that's why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today's biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in a variety of roles covering all aspects of Data Engineering including Data Modelling, Integration, Pipeline Development, Quality & Governance.
Requirements
- A minimum of 4 years of professional experience as a Data Engineer or in a data-focused engineering role with hands-on experience with Stibo STEP or Stibo MDM implementations, including workflows, data models, and integration architecture.
- Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)
Nice To Haves
- Understanding of MDM concepts such as hierarchy management, golden records, survivorship rules, and data quality processes.
- Azure Data Factory
- SQL Server skills
- Strong understanding of data modeling (dimensional and relational), data warehousing concepts, and schema design.
- Knowledge of data security, access control, and governance within Azure environments.
- Experience with product, customer, or supplier master data domains in an enterprise context.
- Experience integrating Stibo MDM with ERP, eCommerce, or PIM systems (eg SAP, Salesforce, Azure integration layers)
- Ability to automate data workflows using Python, PySpark, or PowerShell.
Responsibilities
- Design, build, and maintain integrations and data pipelines supporting Stibo MDM processes, including master data ingestion, harmonization, and syndication.
- Configure and support Stibo STEP workflows, business rules, data quality validations, and product / domain data models.
- Ensure data quality, governance, security, and reliability through best practices in monitoring, validation, version control, and metadata management.
- Collaborate with analytics, reporting, and business teams to ensure data structures and pipelines support accurate, consistent, and accessible insights.
- Document data architectures, pipelines, and processes, and provide knowledge transfer to engineering and analytics teams.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
