Senior Data Engineer

Mastercard; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A global technology company in payments is seeking a Senior Data Engineer in Toronto. This role involves developing ETL/ELT pipelines, managing data solutions, and ensuring data security across environments. Ideal candidates will have a Bachelor's degree in Computer Science and strong SQL skills, along with experience in data warehousing and cloud platforms such as Snowflake. Join a high-performing team focused on driving data innovation.

Qualifications

• Proven experience in data warehousing and data lake development.
• Solid understanding of data mining, machine learning algorithms.
• Hands-on experience with cloud platforms, especially Azure.

Responsibilities

• Develop ETL/ELT pipelines and data movement processes.
• Build and maintain reports, dashboards, and applications.
• Ensure security and reliability of data services.

Skills

Data warehousing and data lake development

Strong SQL skills

Programming languages Python or R

Data mining and machine learning algorithms

ETL/ELT tools (e.g., Apache NiFi)

Cloud Database platforms, particularly Snowflake

Data ingestion and streaming platforms like Kafka

Cloud platforms (especially Microsoft Azure)

DevOps practices and CI/CD pipelines

Troubleshooting skills with large-scale systems

Education

Bachelor's degree in Computer Science or related field

Tools

SAP HANA

Azure Data Factory

Pentaho

Talend

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Data Engineer Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Overview

Ethoca, a Mastercard Company is seeking a Senior Data Engineer to join our team in Toronto to drive data enablement and explore big data solutions within our technology landscape. The role is visible and critical as part of a high performing team – it will appeal to you if you have an effective combination of domain knowledge, relevant experience, and the ability to execute on the details.

The Role

Own the development of ETL/ELT pipelines, data movement processes, and both streaming and batch data solutions. You’ll be responsible for building and maintaining reports, dashboards, applications, services, and user interfaces, while scaling and optimizing existing solutions. Our current architecture spans SAP HANA and Snowflake data warehouses, both on-premise and in the cloud. You’ll ensure the configuration, maintenance, security, and reliability of data and data services across these environments, contributing to a state-of-the-art analytics foundation. You’ll also plan and execute deployments, migrations, and upgrades with minimal service impact, and support architects and analysts in designing agile, effective applications. Your experience will help shape and scale the future of our development and production infrastructure.

All About You

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field
• Proven experience in data warehousing and data lake development, including modeling and integration
• Experience working with Cloud Database platforms, particularly Snowflake
• Strong SQL skills and proficiency in programming languages such as Python or R
• Solid understanding of data mining, machine learning algorithms, and analytics tools
• Experience with data ingestion and streaming platforms like Kafka
• Skilled in ETL/ELT tools (e.g., Apache NiFi, Azure Data Factory, Pentaho, Talend)
• Hands‑on experience with cloud platforms, especially Microsoft Azure
• Familiarity with DevOps practices, CI/CD pipelines, and source control (preferably Git)
• Strong troubleshooting skills with large‑scale systems and performance tuning
• Knowledge of application frameworks (e.g., Spring Boot) and database change management
• Excellent communication, problem‑solving, and analytical skills

Nice to Have

• SAP HANA (Stored Procedures, SQL Programming, Calc Views, Data Modeling)
• SAP Data Services
• Experience with reporting/dashboarding tools
• Familiarity with single‑page application frameworks (e.g., VueJS, ReactJS)
• Understanding of Cloud Foundry application platform
• Background in banking, e‑commerce, credit cards, or payment processing
• Exposure to both SaaS and on‑premises architectures
• Ideally you have experience in banking, e‑commerce, credit cards or payment processing and exposure to both SaaS and premises‑based architectures. In addition, you have a post‑secondary degree in computer science, mathematics, or quantitative science.

AI3

Mastercard is a merit‑based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [e-mail] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

• Abide by Mastercard’s security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.