Job DescriptionAre you passionate about working with data and learning from experienced data professionals through hands-on mentorship and real-world projects? Do you enjoy solving complex problems and creating seamless data flows? If so, we have the perfect opportunity for you! As a
Senior Data Engineer, you will ensure scalable and efficient data systems by addressing global operational demands, maintaining high data quality, and integrating diverse data sources. Navigate regulatory landscapes and implement robust governance frameworks to support long-term technical strategies. This role is based
fully onsite at our
Mississauga, ON office location.
Compensation: $130,000 - $140,000
WHAT'S IN IT FOR YOU?- Competitive compensation/pay package /
- Dental/Vision/Medical benefits
- Life Insurance
- Health Spending Account
- Employee Support and Mental Wellness
- Competitive matched retirement savings program - RRSP
- Be part of a long standing and stable industry leader
WHEN YOU JOIN US, YOU WILL BE;- Lead the design and implementation of scalable, high-performance data systems to meet the evolving needs of IKO's global operations.
- Develop and optimize ETL/ELT pipelines using modern data integration solutions like Azure Data Factory to integrate complex data sources, ensuring accuracy, reliability, and performance.
- Ensure reliability by implementing robust frameworks and testing methodologies, providing trustworthy insights for decision-making.
- Support enterprise-level data governance initiatives by implementing frameworks and practices that align with organizational standards, ensuring data integrity, security, and compliance.
- Collaborate with cross-functional stakeholders to translate business objectives into technical solutions.
- Support the administration of Azure-based databases, including performance tuning, backup/recovery, and maintenance, ensuring database reliability and functionality.
- Mentor junior team members, fostering a culture of technical excellence and continuous improvement.
- Evaluate and implement industry-leading tools like Azure Synapse Analytics, Data Lake Storage, and Databricks to enhance the data ecosystem.
- Analyze and resolve intricate data challenges, employing problem-solving and critical thinking to optimize engineering processes.
OUR IDEAL CANDIDATE;- 10+ years of professional experience in data engineering or a related field.
- Advanced proficiency in SQL, including writing and optimizing complex queries, window functions, CTEs, and query tuning for large datasets. Strong experience in database design and managing transactions.
- Proven expertise in developing large-scale ETL pipelines and data processing automation using PySpark and Python within Microsoft Fabric Notebooks, integrated across the Azure ecosystem.
- Extensive experience with Microsoft data integration tools, specifically Azure Data Factory (ADF) and Fabric Data Factory, to orchestrate complex data ingestion pipelines.
- Strong foundational knowledge of Data Warehousing and Lakehouse architectures, including star/snowflake schemas, Slowly Changing Dimensions (SCD), and data governance frameworks to ensure high-quality, compliant data solutions.
- Hands-on experience with modern DevOps and CI/CD frameworks, utilizing Git workflows (branching, merging, PRs) and Azure DevOps to automate pipelines, manage environment configurations, and deploy Azure resources.
- Solid communication skills, with the ability to translate technical concepts into actionable business insights.
- Demonstrated leadership and strategic capabilities, including mentoring team members, taking ownership of projects, and collaborating effectively with stakeholders to balance deep technical details with overarching business objectives.
- Microsoft Certified: Fabric Data Engineer Associate (DP-700) is preferred
- Proficiency in spoken and written French is a plus.
WORK AUTHORIZATIONS AND TRAVEL;- Travel estimated at 5%, within North America and Europe
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