Senior Data Engineer

Prolific

SENIOR DATA ENGINEER (6 MONTH CONTRACT) Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role We're looking for a Senior Data Engineer to help build scalable data solutions that serve teams across the business – from data scientists and analysts to AI engineers and product teams. You'll contribute to both the underlying platform and the way data is used in our products, working in a modern, cloud native environment where privacy, security, and good data practices are part of how we build. What you’ll bring to the role * Technical Expertise: 3+ years building and shipping production grade data systems, with strong SQL skills and proficiency in Python or another object-oriented language (Java, Scala etc.) * Familiarity with cloud-native infrastructure - ideally some exposure to Terraform, Kubernetes, or similar IaC and container orchestration tools. We don't expect deep expertise in all of these, but comfort working in this kind of environment matters. * Experience designing data APIs or services that expose data to applications, or a strong interest in working across the analytical/operational boundary. * A thoughtful approach to data quality, privacy, and security - you understand that how data is used is as important as how it's moved. * Strong collaboration skills and comfort working across teams with different priorities — engineers, data scientists, AI engineers, product. * A pragmatic, curious mindset - you enjoy keeping up with the field and know when to reach for a new tool versus when to stick with what works. * Pipeline Management: Hands on experience with data pipeline tools (Airflow, dbt) and strong ability to optimise for performance and reliability. * Quality Focus: Commitment to continuously improving product quality, security, and performance through rigorous testing and code reviews. * Documentation: Meticulous approach to creating and maintaining architecture and systems documentation. * Collaborative Mindset: Ability to work across teams to understand and address diverse data needs while maintaining data integrity. * Growth Orientation: Desire to continually keep up with advancements in data engineering practices and technologies. * Problem-Solving: Exceptional analytical skills to troubleshoot complex data issues and implement effective solutions. * Independence: Capability to ship medium features independently while contributing to the team's overall objectives. What you’ll be doing in the role  * Build and maintain data pipelines that power analytics, ML workloads, and product-facing applications - from internal databases, SaaS sources, and streaming systems through to the teams and services that consume them. * Evolve our data platform alongside cloud platform engineers, using infrastructure-as-code (Terraform) and Kubernetes-based deployments (Argo) to keep the platform scalable, reliable, and self-serve. * System Architecture: Design and implement scalable data infrastructure that accommodates our growing data volume and complexity. * Develop data services and APIs that expose trusted data to product applications, bridging analytical and operational systems. * Own data quality and observability, putting monitoring, testing, and alerting in place so issues are caught early and trust in the data stays high. * Partner with AI engineers, data scientists, analysts, and product teams to understand their data needs and design the right solutions – not just the quickest ones. * Uphold strong data privacy, security, and compliance practices in everything you build, particularly where data flows into product-facing contexts. * Technical Documentation: Create and maintain comprehensive documentation of data flows, models, and systems for knowledge sharing. * Security and Compliance: Ensure all data systems adhere to security best practices and compliance requirements. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity. Working for us will place you at the forefront of AI innovation, providing access to our unique human data platform and opportunities for groundbreaking research. Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. Links to more information on Prolific Benefits  External Handbook  Website  Youtube  Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Moniepoint

Who we are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives. Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Key Responsibilities * Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs. * Translate product and business questions into analysis and actionable insights. * Develop and maintain scalable and self-service visualization tools and dashboards. * Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses. * Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. * Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact. Qualifications * 3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies/industries (tier 1 consulting firms, investment banking or tech companies with heavy use of in programming). * Excellent SQL skills - tested during the process * Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) * Knowledge of visualization tools like Tableau and Looker and others * Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights * Experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks * Excellent spoken and written English Additional skills * Product management * Analytics * Marketing * Data Science * Design * Customer Success 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 one of our recruiters. * A panel interview with a member of the hiring team. * A behavioral 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.

Moniepoint

Who we are   Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month.  As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. About the role The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives. Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Key Responsibilities * Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs. * Translate product and business questions into analysis and actionable insights. * Develop and maintain scalable and self-service visualization tools and dashboards. * Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses. * Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product. * Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact. Qualifications * 3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies/industries (tier 1 consulting firms, investment banking or tech companies with heavy use of in programming). * Excellent SQL skills - tested during the process * Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) * Knowledge of visualization tools like Tableau and Looker and others * Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights * Experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks * Excellent spoken and written English Additional skills * Product management * Analytics * Marketing * Data Science * Design * Customer Success 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 one of our recruiters. * A panel interview with a member of the hiring team. * A behavioral 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.