DevOps Engineer

Base pay range CA$85,000.00/yr - CA$92,000.00/yr About the role: 12-month contract: Reporting to the Manager, Solutions Architecture and Data Engineering, we are hiring a Senior Data and DevOps Engineer. This senior role combines deep expertise in data engineering, data warehousing, and DevOps to design, operate, and optimize the systems that power our enterprise applications and analytics ecosystem. You will lead initiatives to modernize our data pipelines, shape data warehouse architecture, define platform topology, and enhance development workflows. This is a hands‑on role where you will mentor others, contribute to architectural decisions, and deliver high‑impact solutions across the organization. What you’ll do: Data Engineering & Data Warehousing: Design, build, and optimize ETL/ELT pipelines using Apache Spark (batch + streaming). Develop and manage scalable workflows and DAGs in Apache Airflow. Architect and maintain data warehouse structures, dimensional models, and semantic layers. Optimize PostgreSQL schemas, indexing strategies, partitioning, and performance. Implement data quality, data lineage, and observability practices. Collaborate with teams to integrate new datasets and support analytics. Platform Topology & System Architecture: Design and maintain cluster topology for Spark, Airflow, and supporting infrastructure. Define end‑to‑end system architecture including compute, storage, and data flow topology. Ensure high availability, resilience, and scalability across environments. Optimize workload distribution, resource allocation, and cluster tuning. Build and enhance CI/CD pipelines. Automate infrastructure provisioning and configuration. Implement monitoring, logging, and alerting solutions. Drive security best practices across the data and DevOps ecosystem. Skills and Qualifications: 5+ years of experience in data engineering, DevOps, or hybrid roles. Expertise in Apache Spark (PySpark preferred). Hands‑on Airflow experience. Deep PostgreSQL knowledge includes tuning for large datasets. Strong data warehousing experience (dimensional modeling, fact/dimension design). Experience designing or maintaining distributed system topologies. Proficiency with CI/CD pipelines and Docker. Strong communication skills and mentoring ability. Nice‑to‑Have Skills: Experience with YARN, Trino/Presto, or distributed SQL engines. Familiarity with metadata tools (OpenMetadata) or dbt. Experience integrating pipelines with enterprise platforms. What the Data Team Offers: Opportunity to modernize and scale our data and DevOps ecosystem. Collaborative environment across Dev, IT, Data Systems, and Ops. Influence over data warehouse architecture and platform topology. What’s in it for you: Competitive base salary $85K- $92K +bonus Training and development opportunities to grow your career Named one of Canada’s Best Managed Companies A supportive workplace culture and work environment The Interview Process Step 1: If your profile is a match, we will invite you for a first conversation with the recruiter. Step 2: The next step, in‑person interview with the hiring manager including a technical test. Step 3: The final step is an in‑person interview with the hiring manager and Director. If this sounds like you and you’re excited to be a member of our team, please apply now. We thank all interested applicants; however, only qualified candidates will be contacted. This position requires successful completion of a criminal background check. Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employees within this job. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. OSL is committed to an inclusive workplace that does not discriminate against race, nationality, religion, age, marital status, physical or mental disability, sexual orientation, gender, or gender identity. We believe in diversity and encourage any qualified individual to apply. Seniority level Mid‑Senior level Employment type Contract Job function Retail #J-18808-Ljbffr