Unlimit is hiring a

Web3 Head of Data

Founded in 2009, Unlimit is a global fintech company that offers a large portfolio of financial services, including payment processing, banking as a service (BaaS), and an on&off-ramp fiat solution for crypto, DeFi, and GameFi. The company’s mission is to deliver solutions that eliminate financial borders, enabling businesses to operate both locally and internationally with ease across Europe, the UK, LATAM, APAC, India, and Africa. Unlimit has 700 employees across 16 offices and five continents, including London, Singapore, São Paulo, Hong Kong, and Mexico. For further information, please visit: www.unlimit.com.

We are looking for a Head of Data to build and lead Unlimit’s centralized data infrastructure from the ground up. You will start by working hands-on to establish scalable, secure systems that support real-time analytics, AI/ML capabilities, and business insights.

As the foundation is set, you will grow and lead a Data Engineering team, driving a data-driven culture across the company. If you’re passionate about turning data into strategic insights and want to make an impact in a fast-paced fintech environment, we’d love to hear from you.

Responsibilities:

• Build a scalable and reliable data infrastructure from scratch and gradually form a Data Engineering team.
• Implement real-time data streaming (CDC) and apply a Data Mesh approach for secure, segmented data management.
• Establish data governance standards and create a unified data repository for analytics, AI/ML, and reporting.
• Develop reporting systems, dashboards, and visualizations for actionable business insights based on both technical and non-technical requests.
• Set up effective workflows between the analytics team and business units, ensuring smooth collaboration and data-driven decision-making.
• Ensure data security and compliance with industry regulations (e.g., GDPR, PCI-DSS, SOC 2) through encryption, access control, and data masking.
• Oversee automated monitoring, anomaly detection, and data integrity tracking to prevent security incidents.
• Build an AI/ML-ready data ecosystem to support predictive analytics, fraud detection, and financial risk assessment.

Requirements:

• 8+ years of experience in Data Engineering.
• 2+ years of leadership experience (team management, process development).
• Experience in building data architecture and implementing solutions from scratch
• Strong knowledge of ETL/ELT processes, data warehouse (DWH) development, and working with OLTP and OLAP systems.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Understanding of data security principles and experience implementing role-based access control (RBAC).
• Experience working with BI tools and setting up advanced reporting.
• Experience implementing and using AI/ML for predictive analytics (a plus).
• Experience in fintech (preferred, but not required).