Senior Data Engineer

“Join us in building Careers and shaping Experiences Beyond the Box” About Us At Atlantic Packaging, every box tells a story and yours begins here. As a proudly Canadian-owned company with over 80 years of excellence in the corrugated packaging industry with operations within North America (Ontario, Quebec and United States), we’re committed to sustainability, customer excellence and community impact. Since 1945, we’ve supported local jobs and built a legacy of trust with our clients and team members. At Atlantic, your ideas matter, your growth is supported and your work makes a real impact. The Opportunity We are seeking a Senior Data Engineer with strong expertise in SQL Server and SSIS to join our Data & Analytics team. This role is central to designing, building, and maintaining enterprise data pipelines and data warehouse solutions. The successful applicant will ultimately be responsible for developing and administrating Databases across the organization, helping us build the data lake and transforming raw data from multiple source systems to create an Enterprise Datawarehouse and Data Lake. The Data Engineer would lead the efforts to help consolidate data via various sources to enable a robust reporting environment. Location: Scarborough, Ontario (currently hybrid, 3 days in office) What You’ll Do ETL Development & Data Pipelines (Core Focus) * Design, develop, and maintain ETL pipelines using SQL Server Integration Services (SSIS) * Build and optimize data ingestion and transformation workflows from multiple source systems * Ensure efficient, scalable, and reliable data movement across the enterprise data platform * Analyze and improve existing ETL processes for performance, scalability, and maintainability SQL Development & Data Processing * Develop complex SQL queries, stored procedures, and scripts to support data processing and transformation * Perform query optimization, indexing, and performance tuning on large datasets * Ensure data integrity, accuracy, and consistency across systems Data Warehousing & Modeling * Design and implement data warehouse solutions using SQL Server * Develop and maintain dimensional data models (fact/dimension, star schema) to support reporting and analytics * Support the evolution of the enterprise data warehouse and data lake environment Data Quality, Reliability & Operations * Implement data validation, error handling, and logging within ETL processes * Monitor and troubleshoot ETL jobs, identifying and resolving failures and performance issues * Ensure data is delivered accurately and on time to downstream systems Data Governance & Security * Support data governance practices including data access controls, security, and compliance * Evaluate and improve authentication, authorization, and data protection mechanisms * Contribute to data documentation, lineage, and auditability Collaboration & Delivery * Work with business stakeholders and analysts to translate requirements into technical solutions * Deliver high-quality, structured datasets to support reporting tools such as Power BI * Participate in planning, estimation, and prioritization of data engineering work Engineering Practices * Maintain and improve technical documentation for ETL processes, data models, and systems * Use version control (Git) to manage code and changes * Identify opportunities to improve tools, frameworks, and processes within the data environment What You'll Bring Education & Experience * Bachelor’s degree in Computer Science, Engineering, or a related field * 7+ years of experience in data engineering, ETL development, or data warehouse development Core Technical Skills (Must-Have) * Strong expertise in SQL Server, including advanced SQL development * Hands-on experience with SQL Server Integration Services (SSIS) for building ETL pipelines * Experience developing stored procedures, complex queries, and performance tuning * Deep understanding of ETL/ELT processes and data pipeline architecture Data Warehousing & Modeling * Strong understanding of data warehousing concepts and dimensional modeling * Experience designing and maintaining fact and dimension tables Performance & Optimization * Experience with query optimization, indexing, partitioning, and large-scale data processing * Ability to troubleshoot and resolve performance bottlenecks in ETL and SQL workloads Governance & Best Practices * Understanding of data quality, data governance, and data security principles * Experience implementing logging, validation, and monitoring in ETL workflows Tools & Technologies * Experience with SQL Server ecosystem (SSIS, SSRS is a plus) * Familiarity with version control (Git) * Exposure to cloud platforms (Azure/AWS) or data lake environments is an asset Nice to Have * Experience with Power BI or other reporting tools * Exposure to modern data engineering tools (e.g., Azure Data Factory, Databricks) * Experience in manufacturing, supply chain, or logistics environments * French language skills are an asset What We Offer * Comprehensive health, dental and vision coverage (dependents included) * Teamwork-focused culture with sustainability initiatives and social events * A culture of appreciation through a point-based recognition * Opportunities for advancement and internal movement * Education assistance for continuous skill development * Academic scholarships for employees’ children * Safety equipment and PPE support program * Retirement savings and wellness initiatives * Employee Assistance Program (EAP) Inclusion and Accessibility Atlantic Packaging is committed to fostering an inclusive, accessible and respectful environment for all candidates. If you require accommodation during the hiring process, please contact our Talent Acquisition team—we’re here to support you. We sincerely thank all applicants for their interest in joining Atlantic Packaging. While we appreciate the time and effort invested, only those selected for an interview will be contacted. Please note Candidates who are 18 years or older are required to complete a criminal and background check. Details will be provided through the application process. Hiring Range: $93,300 - $116,600 per year. A candidate’s experience and knowledge may be factored into the pay a candidate receives for this position. This posting is for an existing vacancy.

Design, build, and maintain enterprise data pipelines and data warehouse solutions using SQL Server and SSIS. Lead efforts to consolidate data from multiple sources into a data lake and enterprise data warehouse to enable robust reporting.

Requires a Bachelor's degree in Computer Science or Engineering and over 7 years of experience in data engineering or ETL development. Must have strong expertise in SQL Server, SSIS, and dimensional modeling.

• Health Coverage • Dental Coverage • Vision Coverage • Point-based Recognition • Education Assistance • Academic Scholarships For Children • Safety Equipment And PPE Support • Retirement Savings • Wellness Initiatives • Employee Assistance Program (EAP)

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• SQL Server
• SSIS
• ETL Development
• Data Warehousing
• Dimensional Modeling
• Stored Procedures
• Query Optimization
• Data Lake
• Git
• Power BI
• Azure
• AWS
• Data Governance
• Performance Tuning
• Data Pipeline Architecture
• Data Validation

• Data & Analytics
• Technology
• Engineering
• Software
• Manufacturing

Formation minimale

Baccalauréat

Expérience minimale

7+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

3 jours par semaine