The Personal Services Analytics and Data Solutions Department is responsible for supporting the various sectors to help them meet their analytics needs. As a senior data engineering advisor, you help develop solutions for collecting, integrating, consolidating, cleaning, sorting and seamlessly using data. You support a dedicated client group on various initiatives to develop scalable data solutions, including designing platforms tailored to business needs. More specifically, you will be required to :
- Understand and analyze users' analytical needs to design and enhance consistent, well-structured data models that meet their needs
- Produce and document data mapping specifications
- Implement, monitor, maintain and improve a wide range of systems that meet business needs
- Design and build data ingestion pipelines and data transformation processes
- Develop algorithms, prototypes and proofs of concept within projects
- Identify opportunities to improve systems based on trends and behaviours and recommend updates
- Help develop methods and document technical solutions
- Carry out complex data engineering mandates on your own and provide support to your team members
What we offer*
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
*Benefits apply based on eligibility criteria.
#LI-Hybrid
What you bring to the table
- Bachelor's degree in a related field
- A minimum of six years of relevant experience, including two years of experience in data analytics
- Please note that other combinations of qualifications and relevant experience may be considered
- Experience with ELT tools
- Experience with multidimensional databases
- Experience with Azure (Synapse, Data Factory, Azure DevOps)
- Experience with languages: SQL, T-SQL, stored procedures/functions
- Knowledge of French is required
- Knowledge of the Continuous Delivery framework
- Knowledge of data security (for example, access model, data protection)
- Knowledge of Azure MLOps and advanced analytics
Interpersonal Savvy, Strategic mindset
Trade Union (If applicable)Job FamilyData (FG)
Unposting Date2026-11-25
