Senior Data Engineer

We’re looking for a Senior Data Engineer to join our data team and play a key role in building a scalable, reliable data platform. You’ll help transform raw data into actionable insights and data products that power strategic decisions and enhance our payment platform.

• Mentor and support junior data engineers where required
• Collaborate cross-functionally with product, engineering, and analytics teams
• Contribute to best practices and continuous improvement within the data team
• Design and maintain scalable data architectures aligned to business objectives
• Enable data-driven decision-making across the organisation
• Contribute to the evolution of Ozow’s data platform and strategy
• Build and maintain robust data pipelines
• Ensure high data quality, integrity, and availability
• Optimise data storage, processing performance, and cost efficiency
• Develop data applications to automate business processes
• Develop and maintain data models to support analytics and reporting
• Work closely with stakeholders to define data requirements and deliver solutions
• Monitor and troubleshoot data issues ensuring minimal downtime
• Implement data governance, security, and compliance best practices
• Support business intelligence and analytics initiatives
• Maintain clear documentation for data pipelines, processes, and systems
• Drive improvements in data engineering tools and workflows
• Support system upgrades, migrations, and integrations
• Promote adoption of data best practices across teams
• Identify and implement automation opportunities within data workflows
• Leverage modern tools to enhance data processing efficiency
• Support AI/ML readiness by ensuring high-quality, well-structured datasets

• 5 years+ experience in a Data Engineering or similar role
• Strong proficiency in SQL and Python (or similar programming language)
• Experience building and maintaining data pipelines
• Hands-on experience with cloud platforms (AWS preferred)
• Knowledge of data warehousing solutions (e.g., Databricks preferred)
• Understanding of data modelling concepts and best practices
• Experience with streaming or real-time data processing is advantageous
• Exposure to fintech, payments, or high-volume transactional environments is a plus
• Strong problem-solving skills and attention to detail