The mandate
You will join an established analytics delivery team to design, develop and evolve data pipelines on Azure Databricks, in a modern and demanding cloud environment.
This is not a heads-down development role. You will work daily with analysts, architects, a technical lead and business stakeholders. Your ability to listen, explain and build trust matters as much as your technical depth, if not more.
Responsibilities
- Design, develop and optimize data ingestion and transformation pipelines on Azure Databricks (SQL, Python, Spark)
- Orchestrate workloads via Azure Data Factory and Databricks workflows
- Apply and evolve data models (medallion architecture, star and snowflake schemas, wide tables, Data Vault)
- Deliver iterative development, testing and deployment of features in an Agile/DevOps setting
- Write and maintain unit and QA tests
- Monitor daily processing and correct anomalies
- Evolve existing analytics solutions with improvements, automation and optimizations
- Write and maintain technical documentation for understanding, operation and maintenance of solutions
- Document work in Jira and Confluence
- Support users and maintain links with stakeholders
- Perform functional analysis tasks as needed (clarifying needs, translating into technical requirements)
Requirements
- Bachelor's degree in computer science, software engineering or a related field, or equivalent combination of education and experience
- Minimum 6 to 7 years of Databricks experience (no junior profiles)
- Databricks Certified Data Engineer Associate required
- Databricks Certified Data Engineer Professional (strong asset)
- Fluent French, spoken and written — the mandate runs primarily in French
- Functional English (level 3 of 5) — ability to read technical documentation and interact with English-speaking stakeholders as needed
- Available to work primarily onsite in downtown Montreal
Technical skills
- Strong knowledge of the Azure Databricks platform and its capabilities
- Strong knowledge of Azure Data Factory for orchestration
- Strong knowledge of SQL and Python applied to data transformation
- Solid knowledge of distributed processing concepts, Spark and Big Data
- Solid knowledge of ETL concepts, medallion architecture, and data ingestion and exposure processes
- Solid knowledge of data modeling and data products
- Solid knowledge of Git in Azure DevOps for source control and branching
- Solid knowledge of Python libraries and building new ones for reusability
- Solid knowledge of agentic AI and classical AI fundamentals, MLOps tooling and the AI solution lifecycle
- Knowledge of Agile process within a DevOps team, plus Jira and Confluence
- Demonstrated ability to use generative AI in daily work
- Power BI knowledge (asset)
Behavioural skills (essential)
- Communication — able to clearly explain technical concepts to business stakeholders, verbally and in writing
- Adaptability — comfortable in an environment that shifts and where priorities get clarified along the way
- Teamwork — active contributor to a delivery team, open to feedback, willing to help
- Openness and consideration — collaborative posture with colleagues and stakeholders
- Agility and results orientation — sense of priorities and focus on delivery
- Commitment to growth — technical curiosity and willingness to advance team practices
- Technical leadership in their area of expertise, ability to influence without formal authority
What we offer
- A 16-month mandate with a major Quebec client
- A leading-edge technology environment (Azure Databricks, AI, MLOps)
- A collaborative team where relationship quality counts as much as code quality
- Competitive terms based on experience
