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About the Role

We are seeking a highly skilled Data Engineer II to design, build, and scale robust data platforms that power analytics and product use cases. This role requires strong ownership in developing data pipelines, optimizing infrastructure, and ensuring high standards of data quality, governance, and performance. The ideal candidate brings deep hands-on experience with modern data technologies and thrives in a fast-paced, product-driven environment.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, transforming, and loading data across batch and real-time (streaming) systems.
• Integrate data from diverse sources while ensuring reliability, scalability, and efficiency.
• Design and implement optimized data models, warehouse schemas, and tables for analytics and reporting.
• Apply best practices in data architecture to support scalable data consumption.
• Manage and optimize data platforms and infrastructure including Spark, Snowflake, Kafka, Airflow, and Kubernetes.
• Ensure high availability, scalability, and fault tolerance of data systems.
• Implement data validation frameworks, automated testing, and monitoring systems.
• Establish alerting mechanisms to ensure data freshness, accuracy, and completeness.
• Enforce data governance standards including access controls, data lineage, and compliance.
• Ensure secure handling of sensitive data (PII) aligned with regulatory requirements.
• Optimize queries, partitioning strategies, file formats, and compute resources.
• Continuously improve system performance while managing infrastructure costs.
• Develop and maintain CI/CD pipelines for data workflows.
• Build internal tools, reusable frameworks, and automation solutions to improve engineering productivity.

Requirements

• 5–8 years of experience in data engineering or a related field.
• Strong programming skills in Python, Scala, or Java.
• Advanced proficiency in SQL and data modeling concepts.
• Hands-on experience with Apache Spark (distributed data processing).
• Hands-on experience with Snowflake or similar cloud data warehouses.
• Hands-on experience with Kafka or other streaming platforms.
• Hands-on experience with Airflow or similar orchestration tools.
• Hands-on experience with Kubernetes (container orchestration).
• Proven experience building both batch and real-time data pipelines.

Skills

• Python
• Scala
• Java
• SQL
• Data Modeling
• Apache Spark
• Snowflake
• Kafka
• Airflow
• Kubernetes
• CI/CD

Location

• Toronto, Canada

Work Type

• Hybrid

Experience Level

• 5-8 years

Salary/Compensations

• $85,000 - $135,000

Benefits

• Competitive salaries
• Annual bonus potential
• Generous paid time off
• Paid volunteering days
• Wellness benefits
• Robust opportunities for professional growth and career advancement

About the Company

• Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered.
• Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments.
• Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO, an integration platform that connects data, systems, and workflows across complex enterprise environments.
• Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific.
• As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale.

Equal Opportunity

• Zafin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
• Zafin is committed to protecting the privacy and security of the personal information collected from all applicants throughout the recruitment process. The methods by which Zafin contains uses, stores, handles, retains, or discloses applicant information can be accessed by reviewing Zafin’s privacy policy at https://zafin.com/privacy-notice/. By submitting a job application, you confirm that you agree to the processing of your personal data by Zafin described in the candidate privacy notice.