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Data Engineering Advisor

  • Montréal, QC, Canada
  • Lévis, QC, Canada

Hybrid

Full-time

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Job details

Job type
Full-time
Workplace
Hybrid
Apply by
Posting language
English
Posted

Original job description

The Personal Services Analytics Solutions Department is responsible for supporting the various sectors to help them meet their analytics needs. As a data engineering advisor, you help develop solutions for collecting, integrating, consolidating, cleaning, storing and seamlessly using data. You help develop, maintain, support and run computer applications and data pipelines, while ensuring the functional analysis, IT design, coding, fine-tuning and documentation of programs. You assist clients on development initiatives that involve scaling data mining solutions and designing platforms that are adapted to business needs. Your projects and initiatives require extensive knowledge of your line of work. You help solve complex business problems related to data collection and storage platform scalability using your analytical skills and detailed knowledge of your line of business. You analyze client and partner needs and help develop execution strategies and action plans taking into account the specifics of IT design for data management systems. You serve as a data management system resource person for practitioners. You interact with collaborators working in other fields to understand needs and harmonize solutions with business objectives. 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

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 four years of relevant experience, including two years in data analytics
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Experience in data engineering
  • Experience with ELT tools
  • Experience with Azure (Synapse, Data Factory, Azure DevOps)
  • Experience with languages: SQL, T-SQL, stored procedures/functions
  • Knowledge of French is required
  • Knowledge of multidimensional databases
Action oriented, Business insight, Customer Focus, Differences, Interpersonal Savvy, Nimble learning


Equity, Diversity, Inclusion and Accessibility

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!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-11-25
More about this job

Responsibilities

The Data Engineering Advisor at Desjardins Technology Group will design and build data ingestion pipelines and transformation processes, and maintain data systems. They will also map data, document technical solutions and advise business clients on analytics needs.

Requirements

Candidates need a bachelor's degree in a related field and at least four years of relevant experience, including two years in data analytics. Required skills include data engineering, ELT tools, Azure (Synapse, Data Factory, Azure DevOps), SQL and T-SQL, and knowledge of multidimensional databases. French is required.

Skills

  • Azure Synapse
  • Azure Data Factory
  • Azure DevOps
  • SQL
  • T-SQL
  • Stored procedures and functions
  • ELT tools
  • Data engineering
  • Data pipelines
  • Data ingestion
  • Data transformation
  • Data mapping
  • Multidimensional databases
  • Data warehousing
  • Data cleaning
  • Data integration
  • Functional analysis
  • Documentation
  • Algorithm development
  • Prototyping
  • Analytical thinking
  • Client consulting
  • Stakeholder communication
  • French

Benefits

  • 4 weeks of flexible vacation
  • Defined benefit pension plan
  • Group insurance including telemedicine
  • Health and wellness and telework equipment reimbursement

Categories

  • Data & Analytics
  • Technology
  • Finance & Accounting

Keywords

  • data engineering
  • data pipelines
  • ELT
  • Azure Synapse
  • Azure Data Factory
  • Azure DevOps
  • SQL
  • T-SQL
  • stored procedures
  • multidimensional databases
  • data mapping
  • data warehousing
  • data ingestion
  • data transformation
  • analytics
  • data management
  • Desjardins
  • bilingual French
  • data advisor

Seniority

Mid level

Perks

  • Generous paid time off
  • Flexible hours
  • Retirement plan
  • Wellness program

Tools

  • Azure Synapse
  • Azure Data Factory
  • Azure DevOps
  • SQL
  • T-SQL

Languages

  • French
  • English

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