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The Citco Group Limited

Test Engineer - Data

Toronto, ON, Canada

Pay: Salary Range: CAD $105,000 to CAD $135,000
Job type: Full-time
Experience: 2+ years hands-on experience with Databricks (Spark)
Posting language: English
Posted: Sep 18, 2026

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Original job description

About Citco

Armed with superior services, smart people, and strong technology, we tackle our customers’ complicated challenges by developing sophisticated solutions driven directly by their demands. The result? Innovation that generates tangible value and makes a real difference for our clients and their companies.

Citco is a global leader in financial services, delivering innovative solutions to some of the world's largest institutional clients. We are seeking a Test Engineer specializing in Data and data platforms (Databricks) to ensure the quality and reliability of our data solutions.

Responsibilities

About the Role

As a Test Engineer - Data, you will be responsible for developing and implementing automated testing frameworks for Databricks-based solutions, data pipelines, and data quality validation. You will work closely with data engineering teams to ensure data accuracy and reliability across our Lakehouse architecture.

Key Responsibilities

Data Pipeline Testing
- Automate testing for ETL/ELT processes in Databricks
- Implement Spark job testing and optimization validation
- Create test cases for data ingestion and processing workflows
- Develop automated checks for data transformations
- Test Unity Catalog features and access controls
Databricks Testing
- Design and implement automated testing for Databricks notebooks and workflows
- Create test frameworks for Delta Lake tables and ACID transactions
- Develop automated validation for structured streaming pipelines
- Validate Delta Live Tables implementations
Quality Assurance
- Design and execute data quality test strategies
- Implement automated data reconciliation processes
- Develop performance testing for large-scale Spark jobs
Monitoring & Reporting
- Implement pipeline monitoring test frameworks
- Create automated test dashboards
- Generate quality metrics and testing reports
- Maintain comprehensive test documentation

Qualifications

About You

Educational Background
- Bachelor’s degree in Computer Science, Data Science, or related field
- Relevant certifications in Databricks or data testing are a plus
Technical Experience
- 2+ years hands-on experience with Databricks (Spark)
- Strong programming skills in Python (PySpark) and SQL
- Experience with data testing frameworks and tools
- Proficiency with AI coding agents such as Claude Code, Cursor, Kiro
- Knowledge of AWS services (S3, Glue, Lambda)
- Understanding of Delta Lake and Lakehouse architecture
- Experience with version control systems (Git)
Additional Skills
- Strong analytical and problem-solving abilities
- Experience with large-scale data processing
- Knowledge of data quality best practices
- Understanding of data governance and compliance requirements
- Experience with Agile methodologies
Platform Knowledge
- Databricks workspace and notebook development
- Delta Lake and Delta Live Tables
- Unity Catalog for governance testing
- Spark optimization and performance testing

Salary Range: CAD $105,000 to CAD $135,000

This posting is for an existing vacancy.

Our Benefits

Your well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

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More about this job

Responsibilities

The Test Engineer will develop and implement automated testing frameworks for Databricks-based solutions and data pipelines. They will collaborate with data engineering teams to ensure data accuracy, reliability, and performance across the Lakehouse architecture.

Requirements

Candidates must have a bachelor's degree in Computer Science, Data Science, or a related field. The role requires at least 2 years of hands-on experience with Databricks, Spark, Python, and SQL.

Skills

Databricks
Spark
Python
PySpark
SQL
Data testing
ETL/ELT
Delta Lake
Unity Catalog
AWS
Data quality
Performance testing
Git
Agile
Data pipelines
Lakehouse architecture

Benefits

Training and education support
Flexible working arrangements

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Spark
Python
PySpark
SQL
ETL
ELT
Delta Lake
Unity Catalog
AWS
S3
Glue
Lambda
Lakehouse
Git
Agile
Data quality
Performance testing
Data pipelines
Data governance
Delta Live Tables
ACID transactions
Structured streaming
Automated testing
Data reconciliation
Test automation
Data engineering
Quality assurance
Monitoring
Reporting

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