Who you are

- The successful candidate will bring expertise in cloud, data engineering, software development, and AI/ML technologies, partnering across Ethoca and Mastercard to design and implement production-ready data platforms, applications, APIs, and AI-enabled solutions

- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline

- Demonstrated experience designing and delivering enterprise-scale data warehouse and data lake solutions

- Solid data modelling, data integration, and SQL expertise

- Advanced programming skills with exposure to Java, JavaScript, Python, R, or similar technologies

- Experience designing and supporting large-scale data platforms, applications, and distributed systems

- Strong understanding of cloud infrastructure and automation, preferably within Azure environments

- Hands-on experience with full stack development, including APIs, backend services, application logic, and user interface development

- Experience with data integration tools such as Apache NiFi, Azure Data Factory, Pentaho, Talend, or similar platforms

- Knowledge of streaming data technologies such as Kafka and analytics engines such as Spark or Storm

- Experience working with Git, source control, CI/CD, deployment pipelines, and DevOps practices

- Strong troubleshooting, performance tuning, and problem-solving capabilities

- Experience applying AI and machine learning techniques to solve business problems and support intelligent decision-making

- Familiarity with AI-enabled applications, model-driven services, automation, and production ML deployments





- Excellent communication skills with the ability to collaborate effectively across technical and business teams

- Experience operating within highly regulated, security-focused environments, including PII and PCI-DSS requirements

- Experience within banking, payments, fintech, e-commerce, or credit card industries is highly desirable

- Exposure to both SaaS and on-premise architectures, along with experience supporting SAP HANA or Teradata environments, will be considered a strong asset

What the job involves

- Ethoca is seeking a Lead Data Engineer to drive on-premise solutions and Azure cloud enablement while advancing big data, AI-enabled, and full stack capabilities across our technology landscape

- This is a highly visible role within a high-performing team, responsible for delivering scalable, intelligent, and resilient solutions that support a rapidly growing fintech business

- Lead the development of ETL/ELT processes, data movement, streaming and batch data solutions, and enterprise analytics capabilities

- Design, build, and support scalable applications, APIs, services, user interfaces, and AI-enabled solutions

- Drive data lake and cloud initiatives while supporting large-scale data platforms in Azure and on-premise environments

- Maintain and enhance SAP HANA-based data warehouse environments with a focus on reliability, security, scalability, and performance

- Partner with product, analytics, architecture, and engineering teams to translate business requirements into production-ready data, AI, and application solutions

- Support deployments, migrations, upgrades, automation initiatives, and production operations

- Contribute to the evolution of cloud architecture, development standards, and engineering best practices

📌 Lead Data Engineer (Toronto)
🏢 Mastercard
📍 Toronto