Data Engineer (DevOps)

At Tecsys, the software we deliver keeps hospitals, pharmacies and distributors supplied with what they need, when they need it. Every role here connects to that outcome. 

We're looking for a Data Platform Engineer (DevOps) to join our TecsysIQ Data & AI team. This is a hybrid role that builds and operates the cloud data platform powering our analytics and AI products on Databricks and AWS.

You will own the infrastructure-as-code and delivery pipelines that provision and deploy the platform, and the Databricks jobs and streaming pipelines that move and shape data through it. You'll partner closely with Data Platform Developers, application dev teams, and Product Owners — standing up new customer environments, evolving the CI/CD and release process, and creating and maintaining the data pipelines that keep the platform running reliably at scale. If you are equally comfortable writing Terraform and debugging a Spark Structured Streaming job, this role is for you.

Tecsys is trusted by mission-critical organizations in healthcare and distribution to power resilient, efficient and secure supply chains. We are a global provider of cloud-based, AI-driven software, publicly traded on the Toronto Stock Exchange (TSX: TCS).   

Three values guide how we work. We earn trust daily by valuing the customer and acting with integrity. We build each other up by recognizing individual strengths and working as one team. And we explore boldly by staying curious and adapting for success.   

You’ll join a culture driven by curiosity, continuous learning, and people who challenge what’s possible.   

• Provision and evolve AWS and Databricks accounts and workspaces using Terraform across multiple regions and environments, managing remote state and per-environment configuration.
• Own the Helm charts and Kubernetes Jobs that onboard new customer environments and deploy the application layer onto provisioned workspaces.
• Build and maintain Docker images and the Java/Maven build pipeline, publishing artifacts to internal artifact and container registries.
• Integrate build, test, and deployment into CI/CD pipelines, and improve release management and versioning across interdependent repositories.
• Manage secrets and credentials safely through cloud secret management and Kubernetes — never in source control.

• Design, build, and maintain Databricks jobs and pipelines — including data curation, transformation, and initial bulk-load workflows.
• Develop and operate real-time streaming and change data capture (CDC) pipelines across the ingestion and transformation layers using Spark Structured Streaming.
• Build and evolve end-to-end data movement across the Bronze, Silver, and Gold data layers, extending pipelines to handle new sources and schema changes as the platform grows.
• Develop and maintain reusable pipeline components and frameworks so new data workflows can be onboarded and shipped quickly.
• Tune clusters and SQL warehouses for cost and performance, and manage catalog, schema, and access governance across environments.
• Collaborate with Data Platform Developers, Product Owners, and business stakeholders in an Agile environment to deliver high-quality data products.

• Hands-on experience with Databricks and Apache Spark, including building batch or streaming data pipelines (mandatory).
• Strong Terraform skills and comfort managing cloud infrastructure on AWS.
• Working knowledge of Kubernetes and Helm, and containerization with Docker.
• Proficiency in Python (PySpark) and/or Java, plus strong SQL for data validation and troubleshooting.
• Experience with Git-based workflows and CI/CD pipelines in a multi-repository codebase.
• Understanding of data quality, ETL/ELT, and data observability concepts.
• Experience working in Agile teams alongside Data Platform Developers and Product Owners.
• Strong analytical, problem-solving, and communication skills.

Fluency in written and spoken English is essential for communicating effectively with clients, suppliers, business partners, and colleagues outside of Quebec.  

• Remote-first flexibility and the trust to manage your own time   

• Benefits and vacation from day one   

• Pension plan with competitive employer contribution   

• Employee events and community initiatives   

• Room to learn, stretch and take on new challenges   

• Collaboration with global teams   

We foster an inclusive workplace where everyone feels valued, respected, and empowered to thrive.   

 If this role fits what you are looking for, apply today. If you are not actively searching but want to hear more, we are glad to talk    

Apply today and discover what you could build, solve, and achieve with Tecsys!   

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