Verified Employer Hiring Fast Featured Role

Metadata & Data Lineage Specialist

Moniepoint Inc. verified
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Location
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100% Remote · 0% Hybrid · 0% On-site
Job Type
work Full-time
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Salary
payments Competitive

Intelligence Match

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Skills Match 87%
Experience Match 88%
Portfolio Match 84%
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About the role

Moniepoint is a financial technology company digitising Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit and business management tools they need to succeed.

We are looking for a Metadata & Data Lineage Specialist to build out and run the organization's metadata management and data lineage capabilities. You will make our data catalogue genuinely useful — helping teams find, trust, and understand the data they are working with, and tracing exactly how that data moves and transforms across our systems.

Required Skills

Responsibilities

  • Maintain and enhance enterprise metadata, developing business glossaries, data definitions, and ownership frameworks within DataHub.
  • Develop, maintain, and validate end-to-end data lineage for critical data flows, products, reports, and customer journeys across source systems, ETL/ELT pipelines, and downstream consumers.
  • Support the administration and optimisation of DataHub. Configure ingestion workflows, monitor metadata ingestion jobs, and identify opportunities to improve coverage through automation and APIs.
  • Establish metadata quality rules and KPIs. Perform regular assessments to highlight gaps, support data impact assessments, and ensure alignment with enterprise governance policies.
  • Apply data classification metadata based on sensitivity and regulatory requirements. Support Risk, Compliance, and InfoSec teams with necessary lineage information for assessments.
  • Drive the adoption of AI-assisted metadata management to automate capture, classification, and enrichment. Contribute to the development of semantic models and knowledge graphs.
  • Act as a subject matter expert, facilitating workshops and providing guidance to data producers and consumers to improve overall data literacy and DataHub adoption.
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