Junior Data Engineer

Junior Data Engineer Enhanced Reliability required Length- Aug 19-Dec 31 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. As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your day-to-day activities will include: Creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You are expected to be a subject matter expert, collaborate and manage the team to perform effectively. You will be responsible for team decisions, engage with multiple teams, and contribute to key decisions while providing solutions to problems for your immediate team and across multiple teams. Beginner proficiency in ETL Development is required. Beginner proficiency in ETL Pipelines is recommended. Develop innovative data solutions that enhance data accessibility and usability. Collaborate with cross-functional teams to identify data needs and optimize data flow. Monitor and troubleshoot data pipeline performance to ensure reliability. Implement best practices for data governance and security. Required Skills: ETL Process Implementation ETL Development ETL Pipelines 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.

You will be responsible for designing, developing, and maintaining data solutions, including creating data pipelines and implementing ETL processes. Additionally, you will monitor pipeline performance, ensure data quality, and collaborate with cross-functional teams to optimize data flow.

The role requires beginner proficiency in ETL development and ETL process implementation. Candidates should also have a strong commitment to teamwork, problem-solving, and continuous improvement.

• Mentorship • Professional development • Inclusive work environment

Identified from the job description. Confirm important requirements above.

• Etl process implementation
• Etl development
• Etl pipelines
• Data engineering
• Data quality
• Data migration
• Data governance
• Data security
• Troubleshooting
• Collaboration
• Mentorship
• Software testing
• Pipelines
• Software Testing
• Reconciliation
• Continuous Improvement Process
• Data Engineering
• Dataflow
• Data Governance
• Extract Transform Load (ETL)
• Data Quality
• Innovation
• IT Service Management
• Coaching
• Safety Assurance
• Troubleshooting (Problem Solving)
• Usability
• Collections
• Reliability
• Teamwork
• Data Pipelines

• Data & Analytics
• Software
• Technology
• Engineering
• Data Engineer
• Software Developers
• Database Administrators

Minimum experience

0+ years

Posting language

English

Working hours

40 hours per week