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Conseiller(ère) en ingénierie de données intermédiaire

  • Montreal, QC, Canada
  • Quebec, QC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English · French
Posted

Original job description

English section of this bilingual listing.

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Description du poste

  • Minimum of 3 weeks of vacation starting from the first year;
  • Comprehensive group insurance with a generous employer contribution;
  • Employer contribution to a group RRSP;
  • Full remote work flexibility: Hybrid, Remote, or On-site;
  • A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
  • Annual IT equipment budget;
  • A balanced work environment with flexible working hours;
  • Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
  • An international community of experts ready to share their knowledge;
  • A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security

Permis CNESST : AP-2504754, AP-2504755, AR-2504756

Read the full bilingual original

Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients - this is what we expect from our future colleagues.

Description du poste

Nous sommes à la recherche d'un(e) Conseiller(ère) en ingénierie de données pour rejoindre notre équipe.


Responsabilités

  • Concevoir, développer et maintenir les pipelines et l’infrastructure de données nécessaires pour soutenir l’analyse, la production de rapports et l’aide à la décision;
  • Analyser les sources de données, définir les logiques d’intégration (ETL/ELT) et appliquer les patrons de conception (design patterns) recommandés;
  • Développer des flux performants dans Microsoft Fabric et structurer les données dans des modèles de données adaptés (p. ex. schémas en étoile/en flocon);
  • Mettre en place des contrôles de qualité des données et contribuer aux tests unitaires et intégrés afin de valider les développements;
  • Assurer l’intégration, la sécurité et la confidentialité des données cliniques et administratives, conformément aux normes en vigueur;
  • Gérer le code, la traçabilité et les déploiements via Azure DevOps et des pratiques CI/CD;
  • Documenter les solutions, partager les connaissances et soutenir l’opérationnalisation des produits de données;
  • Collaborer avec les équipes d’architecture, de sécurité, d’exploitation et les parties prenantes pour optimiser les systèmes et répondre aux besoins d’affaires.

Qualifications

  • Maîtrise de la langue française parlée et écrite;
  • Baccalauréat (1er cycle) dans le domaine des technologies de l’information, en administration des affaires, en gestion ou dans un domaine connexe; Détenir une certification de spécialisation délivrée par une autorité compétente et reconnue dans le domaine des technologies de l’information. L'équivalence du MIFI est exigée pour tout diplôme obtenu à l'extérieur du Québec;
  • Posséder CINQ (5) ans d’expérience en ingénierie de données;
  • Détenir plus de QUATRE (4) ans d’expérience en intelligence d’affaires, dont TROIS (3) ans en ingénierie de données dans le réseau de la santé du Québec;
  • Détenir UN (1) an d’expérience avec Fabric ou Databricks;
  • Démontrer la participation active à au moins DEUX (2) mandats dans le développement de solution analytique intégrant des systèmes d’informations cliniques provinciaux et des établissements (ex: Clinibase, SIURGE, Med-urge, BDCU, MED-ECHO, Opera, SIMASS, SILP).
  • Outils et langages : Git/GitHub, SQL, Python, Power BI;
  • Connaissances de Microsoft Fabric (Lakehouse, Data Warehouse, Direct Lake, pipelines, notebooks) et des environnements Spark.
  • Maîtrise de TSQL, DAX et formats JSON;
  • Connaissance d’outils/plateformes Azure (p. ex. Azure Data Lake Gen2, Data Factory) et d’outils de gouvernance/métadonnées (p. ex. Microsoft Purview).

Seuls les candidat(es) légalement autorisés(ées) à travailler pour tout employeur au Canada seront considérés(ées).


Wepoint Benefits


  • Minimum of 3 weeks of vacation starting from the first year;
  • Comprehensive group insurance with a generous employer contribution;
  • Employer contribution to a group RRSP;
  • Full remote work flexibility: Hybrid, Remote, or On-site;
  • A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;
  • Annual IT equipment budget;
  • A balanced work environment with flexible working hours;
  • Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;
  • An international community of experts ready to share their knowledge;
  • A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security


Permis CNESST : AP-2504754, AP-2504755, AR-2504756

More about this job

Responsibilities

The candidate will design, develop, and maintain data pipelines and infrastructure while ensuring data quality and security. They will also collaborate with architecture and security teams to optimize systems and support decision-making processes.

Requirements

The role requires a bachelor's degree in IT or a related field, along with at least five years of experience in data engineering. Candidates must also possess specific experience in business intelligence and the Quebec healthcare network, as well as relevant professional certifications.

Skills

  • Data engineering
  • ETL/ELT
  • Microsoft Fabric
  • SQL
  • Python
  • Power BI
  • Azure DevOps
  • CI/CD
  • Data modeling
  • Spark
  • TSQL
  • DAX
  • JSON
  • Azure Data Lake Gen2
  • Data Factory
  • Microsoft Purview

Benefits

  • Vacation
  • Group insurance
  • Group RRSP
  • Remote work flexibility
  • Annual IT equipment budget
  • Flexible working hours
  • Career development
  • Training and certifications

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Healthcare
  • Consulting

Keywords

  • Data Engineering
  • Microsoft Fabric
  • ETL
  • ELT
  • Azure DevOps
  • CI/CD
  • SQL
  • Python
  • Power BI
  • Spark
  • TSQL
  • DAX
  • JSON
  • Azure Data Lake Gen2
  • Data Factory
  • Microsoft Purview
  • Healthcare Data
  • Data Modeling
  • Business Intelligence
  • Data Governance
  • Digital Transformation
  • Clinical Information Systems
  • Git
  • GitHub
  • Data Pipelines
  • Data Warehouse
  • Lakehouse
  • Notebooks
  • Direct Lake
  • Metadata

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