The Senior Data Engineer will develop and maintain ETL/ELT pipelines, manage data warehousing solutions, and ensure system reliability on both cloud and on-premise platforms.
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.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
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.
You will bring cutting edge software and full stack development skills with advanced knowledge of cloud and data lake experience while working with massive data volume. You will own this - our teams are small, agile and focused on the needs of the high growth fintech marketplace.
You will be working across functional teams within Ethoca and Mastercard to deliver on premise and cloud strategy.
We are committed in making our systems resilient and responsive yet easily maintainable on premise and on cloud.
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 [email protected] 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
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
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.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
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.
You will bring cutting edge software and full stack development skills with advanced knowledge of cloud and data lake experience while working with massive data volume. You will own this - our teams are small, agile and focused on the needs of the high growth fintech marketplace.
You will be working across functional teams within Ethoca and Mastercard to deliver on premise and cloud strategy.
We are committed in making our systems resilient and responsive yet easily maintainable on premise and on cloud.
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 [email protected] 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
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- 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.
Top Skills
Apache Nifi
Azure Data Factory
Ci/Cd
DevOps
Elt
ETL
Git
Kafka
Azure
Pentaho
Python
R
Sap Hana
Snowflake
Spring Boot
SQL
Talend
Mastercard Dublin, Dublin, IRL Office



One South County, South County Business Park, Dublin, Dublin, Ireland, D18
Similar Jobs at Mastercard
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Senior Data Engineer develops data strategies, designs data pipelines, ensures data accuracy, and provides support for ML engineers. They collaborate across teams to enhance cybersecurity and mitigate vulnerabilities.
Top Skills:
AWSDatabricksGithub ActionsHiveImpalaJenkinsKafkaOoziePythonSparkSQLTerraform
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Vice President of Data Science will lead strategic initiatives, manage a team of data scientists, and enhance data quality using AI, aligning business and data strategies with product goals.
Top Skills:
SparkAzureAzure Machine LearningDatabricksHadoopLinuxPythonPyTorchRSap HanaScikit LearnSnowflakeSQLTensorFlow
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Senior Data Engineer develops data strategies, designs data pipelines, ensures data accuracy, and provides support for ML engineers. They collaborate across teams to enhance cybersecurity and mitigate vulnerabilities.
Top Skills:
AWSDatabricksGithub ActionsHiveImpalaJenkinsKafkaOoziePythonSparkSQLTerraform
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.




