Senior Data Engineering Advisor

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, storing and mining data flows. You assist clients on development initiatives that involve scaling data mining solutions and designing platforms that are adapted to business needs. More specifically, you will be required to:

• Identify the analytics needs based on feedback from users

• 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 procedures 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.

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

• Relevant experience using agile methodologies like Scrum and Kanban

• Experience with ELT tools

• Knowledge of French is required

• Knowledge of Microsoft Azure (Synapse, Data Factory, Azure DevOps)

• Knowledge of Databricks Unity Catalog

• Knowledge of Data build tool (dbt)

• Knowledge of programming languages: Python, Spark SQL, SQL, T-SQL, stored procedures/functions

• Knowledge of DataOps (CI/CD, Git, data tests, Terraform)

• Knowledge of orchestration tools (Apache Airflow)

• Knowledge of Framework and best practices in modern data engineering

• Knowledge of multidimensional databases

• Knowledge of data security (for example, access model, data protection)

• Knowledge of Azure MLOps and advanced analytics

#LI-Hybrid

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

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