Metadata & Data Lineage Specialist

Job description

**Who we are** Moniepoint is an all-in-one digital financial services platform powering businesses across emerging markets. Since 2019, our technology has enabled over one million businesses to thrive through comprehensive payment, banking, credit, and business management solutions. Operating through its subsidiaries—including Moniepoint MFB and TeamApt Ltd—Moniepoint processes the majority of Nigeria's POS transactions, representing over $170 billion in annualised Total Payment Volume (TPV). Recognised as Africa’s second-fastest-growing fintech platform and named the Most Inclusive Payment Platform by the Central Bank of Nigeria (CBN) in 2022, Moniepoint continues to scale its profitable financial ecosystem. **About this role** 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 be the person who makes 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. You will take our metadata management and data lineage frameworks from paper to practice: growing coverage, improving quality, automating collection wherever possible, and building lineage that holds up for our most critical data products, regulatory submissions, and business-critical flows. **Responsibilities** - **Metadata Management & Data Cataloguing:** Maintain and enhance enterprise metadata, developing business glossaries, data definitions, and ownership frameworks within DataHub. Identify gaps and ensure metadata changes align with governance processes. - **Data Lineage Management:** 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. - **DataHub Platform & Integration:** Support the administration and optimisation of DataHub. Configure ingestion workflows, monitor metadata ingestion jobs, and identify opportunities to improve coverage through automation and APIs. - **Metadata Quality & Governance:** Establish metadata quality rules and KPIs. Perform regular assessments to highlight gaps, support data impact assessments, and ensure alignment with enterprise governance policies. - **Data Classification & Privacy:** Apply data classification metadata based on sensitivity and regulatory requirements. Support Risk, Compliance, and InfoSec teams with necessary lineage information for assessments. - **AI & Advanced Data Discovery:** Drive the adoption of AI-assisted metadata management to automate capture, classification, and enrichment. Contribute to the development of semantic models and knowledge graphs. - **Stakeholder Engagement:** Act as a subject matter expert, facilitating workshops and providing guidance to data producers and consumers to improve overall data literacy and DataHub adoption. **Experience & Background** - Bachelor’s degree in Computer Science, Information Management, Data Science, Information Systems, Library/Information Science, Engineering, or a related discipline. - 3–6+ years of experience in Metadata Management, Data Governance, Data Architecture, or Data Engineering. - Demonstrable hands-on experience with Solidatus, Informatica, DataHub, or a comparable enterprise data catalog platform. - Practical experience developing end-to-end data lineage across complex data environments. - Deep familiarity with modern data architectures (Medallion, Data Mesh, Data Vault 2.0, warehouses, data lakes, cloud platforms). - Experience in financial services, fintech, payments, banking, or another highly regulated data environment is highly desirable. **Skills & Competencies** - Strong proficiency working with technical and business metadata, business glossaries, data domains, and data classification. - Experience working with relational databases and a solid understanding of SQL and database structures. - Knowledge of APIs, ETL/ELT pipelines, and automated metadata integration. - Familiarity with AI-assisted metadata management, semantic modelling, ontologies, and knowledge graph concepts. - Strong stakeholder management skills with the ability to facilitate training and influence adoption. - Professional certification in Data Management or Architecture (e.g., DAMA CDMP, CIMP, DCAM) or related platform certifications are advantageous. **What success looks like in this role** - The enterprise data catalogue is accurate, easily discoverable, and heavily utilised by cross-functional teams to understand data assets. - End-to-end data lineage is robust, validated, and actively supports critical data products, regulatory submissions, and incident investigations. - Metadata collection is highly automated, maintaining strict quality standards and governance controls with minimal manual intervention. - Data literacy and platform adoption (DataHub) scale across the organisation through effective stakeholder enablement. **What we can offer you** - Culture -We put our people first and prioritise the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. - Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. - Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. **What to expect in the hiring process** - A preliminary phone call with the recruiter - A technical interview with the hiring manager - A behavioural and technical interview with a member of the Executive team. *Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.*