Who We Are Moniepoint is Africa’s all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria’s largest merchant acquirer. We are on a mission to create financial happiness for everyone, everywhere. What We Do At Moniepoint, we are a customer-focused community dedicated to crafting solutions that redefine our industry. We leverage artificial intelligence and data-driven best practices to support our businesses, from providing credit and overdrafts to ensuring every transaction is secure. Curious about what makes Moniepoint an incredible place to work? Check out our stories on how we cultivate a culture of innovation, teamwork, and growth. About the role The Data Privacy & Protection Officer will support the Compliance Team in implementing and maintaining TeamApt’s Data Protection framework in compliance with the Nigeria Data Protection Act (NDPA) 2023, GAID, and other relevant Data Privacy regulations. The role provides day-to-day oversight in monitoring Data Processing activities, handling customer privacy rights requests, conducting awareness training, and supporting privacy risk management across TeamApt’s operations. What you’ll get to do Compliance & Governance - Responsible for developing, implementing, and monitoring adherence to Data Privacy policies, procedures, and controls, including NDPA 2023, CBN regulations, and NDPC directives - Ensures that all obligations are met with respect to lawful processing, purpose limitation, data minimisation, accuracy, storage limitation, integrity, and confidentiality. - Maintain and regularly update the Record of Processing Activities (RoPA) and oversee the NDPC Data Protection Compliance Audit. Data Subject Rights & Requests Management - Coordinate and ensure timely, compliant responses to all Data Subject Access Requests (DSARs) and other individual rights requests. - Manage data subject rights requests- including access, rectification, erasure, restriction, objection, and portability within statutory timelines. - Develop and enforce the organisation's Data Protection Policy, Privacy Notice, Cookie Policy, Retention Policy, and all supporting privacy documentation. Data Protection Impact Assessments (DPIA) & Risk Management - Conduct and review DPIAs for new products, systems, and vendors. - Facilitate the identification and mitigation of Data Protection/Privacy risks and ensure technical measures are in place in collaboration with IT and Risk teams. Training, Awareness & Capacity Building - Execute privacy awareness campaigns and training across departments, including developing and maintaining learning materials. - Monitor and interpret changes in Nigerian and International Data Protection laws Third-Party Management - Oversee third-party data processor due diligence, ensure Data Processing Agreements (DPAs) are in place with all vendors and partners, and manage ongoing compliance of processor relationships. - Maintain the Vendor Data Processing Register and support contract reviews for privacy clauses. Incident Management & Reporting - Manage data breaches, maintain incident Registers and participate in post-incident reviews. - Manage data breach response (documentation, investigation, regulatory reporting to NDPC within statutory timelines). - Ensure personal data elements are adequately protected within the organisation's security architecture, including encryption at rest and in transit, access controls, tokenisation of sensitive payment data, and audit logging - Provide data protection oversight for the organisation's Business Continuity Planning (BCP) and Disaster Recovery (DR) programmes, ensuring personal data recoverability and minimised data loss objectives Regulatory Engagement - Prepare reports, documentation, and responses for the NDPC, and other regulators, also coordinate responses to NDPC’s notices, directives, and audits. - Serve as a representative in all regulatory engagements with the NDPC, NITDA, NCC and other data-related matters. - Manage and maintain all associated registrations, filings, renewals, and regulatory correspondence. To succeed in this role, you should have experience in - Excellent understanding of Data Privacy principles, risk management, and control frameworks. - Familiarity with Data governance, Data lifecycle management, and financial customer data handling. - High ethical standards and attention to detail. - Ability to work collaboratively with cross-functional teams. - Strong organizational and documentation skills. - Tech savvy and familiarity with Data Governance software. - Strong communication and report-writing skills. - Analytical thinking and ability to spot compliance risks. - Ability to work under supervision while taking initiative on assigned tasks. Eligibility: - Bachelor’s degree in Law, Information Technology, Computer Science, or related field. - Minimum of 7–10 years of experience in Data Protection, IT GRC, Compliance, or Cybersecurity, preferably within financial services or regulated institutions. - Professional certification like CIPP/E, CDPO or CIPM from accredited issuing bodies. - Sound knowledge of the Nigeria Data Protection Act (NDPA 2023), NDPC Regulations, CBN IT Standards, and global Data Protection frameworks (e.g., GDPR). - Strong analytical, communication, and stakeholder management skills What we can offer you - Culture -We put our people first and prioritize 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 Inc is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Role Description Currently we’re seeking a specialist who is motivated to develop a career in data protection and work with market‑leading high‑tech enterprise software clients. In this role, you will support Data Protection compliance across the UK region, helping organisations operate securely and responsibly. As a Data Protection Coordinator, you will support regional Data Protection compliance initiatives, collaborate with experienced colleagues, and contribute to processes that ensure secure and compliant operations. How you’ll spend your day - Driving data protection compliance and raising awareness about data protection across the region (trainings and consultations). - Gathering information about new Data Protection guidelines and orders of data protection authorities. - Providing documentation of Country Data Protection Laws, e.g. Country GDPR amendments. - Advising and supporting on Data Subject Access Request, potential incidents and other UK-specific matters as applicable. - Maintaining the Country Data Protection compliance reporting. - Regularly aligning on Data Protection matters across several teams. - Supporting data subject rights requests and requests by the data protection authorities. - Potentially supporting our Legal team on commercial legal topics. Qualifications - At least 1-2 years of data protection experience. - Familiar with UK GDPR. - Must have a legal background; a degree from an accredited law school is a plus. - Experience with high-tech companies preferred. - Proven work experience in an in-house legal department or a major law firm is a plus. - Fluency in both written and verbal English is mandatory. - Excellent communication and presentation skills, dynamic and highly team-oriented personality. - Ability to navigate in an international, complex organisation. Benefits - Opportunity to work with one of the biggest high-tech companies in the world. - Flexible working arrangements and a hybrid work model to help you succeed in your career while balancing personal needs. - Work in an engaging international environment. - Open and friendly company culture, great colleagues, and a supportive team. - Modern office environment.

• Desarrollar código PySpark para la transformación de datos • Ingesta de datos y orquestación de procesos • Garantizar la calidad del dato • Participar en múltiples proyectos de Analítica Avanzada

About DevSavant DevSavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. We support founders and leadership teams with product engineering and global staffing, from early prototypes and MVPs to scaling high-performing teams. Our vetted talent across LATAM and Asia embeds directly into client teams, operating as true extensions rather than external vendors. With over 8 years working in venture-backed ecosystems, DevSavant is trusted to accelerate delivery, scale teams efficiently, and support companies as they reach their next milestone. About the Role We are seeking a Data Engineer to join our growing team of data experts. This is an individual contributor role embedded within cross-functional teams, focused on building and maintaining the data infrastructure that powers our analytics and business intelligence platforms. The role is heavily data-oriented, with a strong emphasis on designing and developing scalable, reliable data pipelines and systems using Python and SQL. You will be responsible for ensuring that business-critical data is accurate, accessible, and optimized for downstream use by software developers, analysts, data scientists, and other stakeholders. The ideal candidate is a hands-on data engineer who thrives in fast-paced environments, takes ownership, and is comfortable working with evolving requirements. You enjoy building robust data systems from the ground up, integrating new datasets, and continuously optimizing data infrastructure for performance and scalability. Key Responsibilities AI & Automation - Contribute to AI-enabled data workflows, including integration with agents and MCP servers - Leverage AI tools (e.g., Copilot, Openspec) to automate aspects of the software development lifecycle - Instrument data systems and pipelines with automation, monitoring, and intelligent workflows Data Engineering & Pipeline Development - Build and maintain scalable data pipelines using Python, SQL, and modern ETL frameworks - Design and implement robust data architectures that support business and analytical needs - Assemble large, complex datasets that meet functional and non-functional requirements - Optimize data systems for performance, reliability, and scalability - Write clean, maintainable, and well-tested code following best practices - Continuously improve data engineering standards and processes Data Infrastructure & Integration - Develop infrastructure for efficient extraction, transformation, and loading (ETL) of data from diverse sources - Integrate structured and unstructured data formats (e.g., CSV, Excel, Shapefiles) into centralized systems - Maintain and optimize databases containing customer usage, financial, and operational data - Integrate and optimize data access across platforms, including analytical tools such as QGIS - Maintain and improve search indices using both COTS and custom-built solutions Analytics Enablement & Stakeholder Support - Collaborate with analysts, data scientists, and business stakeholders to support data needs - Build and maintain data tools that empower analysts to explore and optimize datasets - Assist stakeholders with data-related technical challenges and infrastructure needs - Support analytical workflows, including SQL query development and dataset preparation - Partner with data and analytics teams to enhance overall system capabilities Monitoring, Reliability & Operations - Monitor data systems and pipelines to ensure high availability and reliability - Perform root cause analysis on data and system issues and implement corrective actions - Improve observability and alerting for data infrastructure - Maintain operational excellence across data platforms Collaboration & Execution - Work closely with cross-functional teams in a distributed, remote-first environment - Translate evolving business requirements into scalable data solutions - Take ownership of data systems from design through production - Operate effectively in a fast-paced environment with changing priorities Core Technical Stack Data & Backend - Python for data processing and pipeline development - SQL for querying and data transformation - PostgreSQL (preferred) and other relational databases - ETL orchestration tools such as Airflow or Cloud Composer - Data transformation tools such as DBT Data Platforms & Tools - Geospatial tools and analytical platforms (e.g., QGIS) - Handling of structured and unstructured data formats (CSV, Excel, Shapefiles) - Search and indexing technologies (COTS and custom solutions) Cloud & Infrastructure - Cloud platforms (GCP preferred; BigQuery experience is a strong plus) - Familiarity with data warehouses, data lakes, and distributed data systems - Message queuing and stream processing systems DevOps & Tooling - Linux-based environments and shell scripting - Version control, CI/CD practices, and automated workflows - AI-powered development tools (e.g., GitHub Copilot, Openspec) Required Qualifications - 3–5 years of experience in data engineering, data pipelines, or related fields - Strong proficiency in SQL and experience working with relational databases (PostgreSQL preferred) - Advanced experience using Python for data processing (including spatial and non-spatial data) - Experience building and optimizing data pipelines and architectures - Hands-on experience with ETL orchestration tools (Airflow or Cloud Composer preferred) - Experience with data transformation tools (DBT preferred) - Experience working with unstructured and legacy data formats - Strong analytical skills and experience working with large, complex datasets - Experience performing root cause analysis and improving data processes - Familiarity with distributed systems, message queues, or stream processing - Experience working in Linux environments and using command-line tools - Strong communication skills and ability to collaborate across teams - Proactive mindset with a focus on ownership and continuous improvement Nice to Have - Experience with GCP and BigQuery administration - Experience with geospatial data and tools - Familiarity with AI-enabled data systems and agent-based architectures - Experience automating SDLC processes using AI tools - Experience integrating data platforms with analytics and BI tools - Experience in high-growth or fast-paced environments Qualities We're Looking For - Results-driven mindset (GTD): Ability to identify next actions, communicate clearly, and execute efficiently - Ownership mentality: Strong sense of accountability and decision-making ability - Builder mindset: Passion for creating scalable, impactful data solutions - Curiosity and continuous improvement: Always seeking better ways to solve problems - Team collaboration: Comfortable working across teams and supporting diverse stakeholders - Bonus: You enjoy coffee, love software and products, and bring a good sense of humor