SOTI is committed to providing its employees with endless possibilities; learning new things, working with the latest technologies and making a difference in the world.
Job Title: Data Engineer
Location: Mississauga (Hybrid)
Who We Are
At SOTI, we are committed to delivering best in class mobile and IoT device management solutions. We are looking for out of the box thinkers that appreciate the art of great software and how it revolutionizes the world in which we live.
To us, being visionary is more important than doing things the way they’ve always been done.
What’s in it for you?
The People - From our humble origins in our founder’s basement, to our industry leading position today, SOTI has worked hard to foster a company culture that we can all believe in. A culture that emphasizes personal growth, continuous innovation and fun.
The Growth - Our environment fosters new ideas, fresh perspectives, and the ability to take them over the goal line. SOTI is a fast-paced environment with a global reach that encourages you to make your mark and be part of something big!
The Technology - You’ll get the chance to work with leading edge technologies and take on complex and interesting projects, as part of highly collaborative and agile teams. You will work alongside SOTI’s partners which include leading tech giants that will keep you on the cusp of emerging technologies.
Responsibilities:
- ETL/ELT Development: Design, build, and maintain efficient ETL/ELT pipelines to support data ingestion, transformation, and delivery across diverse data sources and BI platforms.
- Medallion Architecture Implementation: Structure data pipelines using the Medallion architecture (Bronze, Silver, Gold layers) to ensure modularity, scalability, and enhanced data quality.
- Collaboration with Data Architecture: Work closely with the Data Architecture team to align with enterprise data models, standards, and architectural guidelines while contributing to the implementation of governed data solutions.
- Cross-Functional Collaboration: Collaborate with BI Engineers and stakeholders across various internal departments (Data Source owners: IT, Cloud Services, Corporate Applications, etc) to gather requirements and deliver reliable, scalable data solutions that drive business insights.
- Infrastructure Support: Maintain and support hybrid data environments (on-premises and cloud), including data pipelines and storage systems within SQL Server, Azure Synapse Analytics, and Microsoft Fabric.
- Monitoring & Alerts: Implement and maintain monitoring, logging, and alerts to ensure data pipeline performance.
- Data Quality: Maintain data reconciliation processes, unit testing, CI/ CD, and version control to ensure data accuracy and reliability.
- Data Governance & Compliance: Support data governance initiatives by ensuring adherence to data quality standards, metadata management, data lineage practices, and access controls. Collaborate with data stewards and compliance teams to enforce policies and ensure consistent data definitions and usage.
- Technical Documentation & Knowledge Sharing: Document technical designs, processes, and data flows to support maintainability, transparency, and internal knowledge sharing.
- Solution Development: Develop scalable, data-driven solutions to solve complex business challenges, enabling robust self-service reporting, analytics, and BI capabilities (e.g. Data Mesh approach).
- Process Improvement: Continuously assess and enhance data engineering practices, focusing on performance optimization, reliability, and development efficiency.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
- 3–5 years of experience in data engineering or similar technical role.
- Strong proficiency in SQL for complex querying and performance tuning.
- Hands‑on experience with ETL/ELT development and building robust, scalable data pipelines.
- Advanced skills in Python and PySpark for data processing and transformation.
- Experience with C# for integration, automation, or pipeline component development.
- Practical expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, and Notebooks.
- Strong experience working with Azure data services (ADF, ADLS, Synapse, Databricks, Azure SQL).
- Ability to work with structured, semi‑structured, and unstructured data.
- Understanding data governance, validation, and quality best practices.
- Effective communicator comfortable collaborating with analysts, data scientists, and business partners.
- Familiarity with CI/CD development processes, including version control, automated deployments, and pipeline-based DevOps practices.
- Detail‑oriented, proactive, and able to operate in fast‑paced cloud environments.
#LI-SN1
If you want to bring your ideas to life, apply at SOTI today.
Use of Artificial Intelligence in Hiring
SOTI uses AI tools to support parts of our recruitment process, such as reviewing resumes, screening qualifications, and creating interview questions. These tools assist our team only-final hiring decisions are made by people, not automation. For privacy-related questions, please contact privacy@soti.net.
We are committed to providing accessible employment practices that are in compliance with the requirements under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation during any stage of the recruitment process, please notify People & Culture at careers@soti.net.
Please note that SOTI does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, SOTI will not consider or agree to payment of any referral compensation or recruiter fee.