Data Quality Engineer
PLATO Calgary, Alberta, Canada
IT Services and IT Consulting · 201-500 employees
About the role
The Data Quality Engineer ensures the reliability and integrity of enterprise data platforms by validating data pipelines and transformation logic. They are responsible for testing data completeness, accuracy, and lineage across various data layers.
What they look for
Requirements
Candidates must have experience with ETL/ELT, data warehousing, and testing structured or semi-structured data. Proficiency in SQL, Python, PySpark, and Azure data tools is required, along with a current secret level Government of Canada Security Clearance.
Benefits
Full description
Who We Are
PLATO is Canada’s largest Indigenous-owned software testing and technology services company. For nearly 30 years, our expert teams have helped our clients deliver reliable products that users enjoy interacting with.
Our 100% Canada‑based team brings deep experience in QA, software testing, and IT services, along with a shared commitment to collaboration, mentorship, and continuous improvement. We’re a team that shows up for each other, whether that’s tackling complex client challenges or helping colleagues grow through coaching and knowledge‑sharing.
As Canada’s largest Indigenous‑owned software testing company, we’re proud of our roots and our mission to build a stronger, more inclusive technology workforce. At the same time, we warmly welcome applicants of all backgrounds and experiences who are passionate about quality, teamwork, and making an impact.
** Please note: A current secret level Government of Canada Security Clearance is required at the time of application.
Position start date Nov 2026
This role could be done on a permanent or contract basis. Permanent employees located near a PLATO office location will be hybrid.
Job Summary
The Data Quality Engineer (AR14) ensures the reliability, integrity, and auditability of enterprise data platforms by validating data pipelines and supporting trusted reporting, analytics, and business decision-making.
Responsibilities
- Validate ingestion, transformation, and movement of data across Bronze, Silver, and Gold layers.
- Test data completeness, accuracy, conformity, lineage, business rules, and exception handling.
- Analyze source-to-target mappings and validate schema and transformation logic.
- Execute batch, incremental, and CDC validation activities.
- Perform large-volume data validation and defect investigation.
- Validate data lineage, traceability, and auditability requirements.
- Support quality assurance for structured and semi-structured data.
Requirements
- Experience with ETL/ELT, data warehouse, data lake, and lakehouse testing.
- Strong knowledge of data quality validation, source-to-target mapping, and transformation testing.
- Proficiency in SQL, Python, and PySpark.
- Experience with Azure Databricks, Azure Data Lake Storage, Azure Data Factory, and Delta Lake.
- Familiarity with Kafka/Event Hub and Azure DevOps.
- Experience using data-quality and profiling tools.
- Strong analytical and troubleshooting skills.
Work With Us
At PLATO, we believe that great work happens when people feel supported, connected, and challenged in the right ways. You’ll be part of a collaborative environment where experienced professionals share knowledge, mentor others, and contribute to solving complex, real‑world client projects.
We are committed to inclusive hiring practices and encourage applications from individuals of all backgrounds, including women, persons with disabilities, visible minorities, and Indigenous peoples. If you require accommodation at any stage of the recruitment process, we’re here to support you.
PLATO respectfully acknowledges that we operate on treaty territories, unceded First Nations and Inuit territories, and within Métis homelands. We honour the long history of these lands and actively work toward reconciliation between Indigenous and non‑Indigenous peoples on Turtle Island.
