Senior Data Engineer

IKO Industries Ltd. is a market leader in the manufacturing of roofing and building materials. IKO is a Canadian owned and operated business with production facilities worldwide and has many years of unparalleled success in the roofing materials industry. Quality, integrity, and trustworthiness are the values that underlie this success, and we have built this company by hiring people who hold these values.

People like you!

Job Description
At IKO, weu
2019re more than a roofing manufactureru
2014weu
2019re innovators, transforming raw materials into products that shelter families, businesses, and communities. Our Analytics team is integral to this process, turning raw data into actionable insights that drive efficiency, reduce waste, and enhance product quality. Just as innovation drives our production line, our Analytics team powers IKOu
2019s success by enabling strategic decisions that keep us at the forefront of the industry.
By living our purpose, we bring data to life and help shape IKOu
2019s future, ensuring we remain a global leader in roofing, insulation, and waterproofing solutions.
Shape the Future of Analytics:
Be part of a growing dynamic team where you''ll have the opportunity to help define and shape IKOu
2019s analytics strategy, making a lasting impact on the business.
Empowered by Data:
Just like the precision that goes into producing each shingle, our analytics team turns raw data into precision-driven strategies that impact every facet of the business.
Innovation in Action:
We work at the intersection of data and technology, constantly evolving our techniques and tools to drive innovation across IKOu
2019s global footprint.
Global Reach, Local Impact:
From supply chain optimization to customer satisfaction, our insights make a difference across the world.
Are 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
WHATu
2019S 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 u2013 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 IKOu
2019s 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 Dev Ops and CI/CD frameworks,…