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Ingénieur de données

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
Apply by
Positions available
4
Posting language
English · French
Posted

Original job description

English section of this bilingual listing.

Entrée en fonction :

Lieux :

Nbre de postes à pourvoir :

Salaire :

About us :

We are a Canadian consulting company that provides engineering and science consulting services in the Pharmaceutical, Biopharmaceutical, Agrifood, Cosmetics, Medical Devices and Information and Communication Technologies sectors. We work closely with our clients to provide a tailor-made service that meets their needs and operational requirements. Thanks to our competent and qualified staff, FOP Consultants has as mission to serve clients in North America and elsewhere in the world.

Brief description of the position :

In order to meet the needs of its clients in the IT sector, FOP Consultants is looking for data engineering consultants motivated to carry out mandates. The main responsibilities would be to collect, clean and analyze the organization’s data, design reports and dashboards, identify trends, and help teams make informed decisions backed by reliable data.

Main responsibilities :

Without limitation, the main tasks involve:

  • Design, develop and maintain robust data pipelines to integrate a variety of sources, including provincial and institutional clinical information systems.
  • Build and evolve modern data architectures (lakehouse, data warehouses) in Microsoft cloud environments.
  • Transform raw data into reliable, high-performing models to power business intelligence dashboards and reports.
  • Collaborate with clinical, administrative and IT teams to understand their needs and translate them into concrete solutions.
  • Contribute to real-time data processing and the implementation of event-driven architectures.
  • Ensure data quality, security and governance (documentation, metadata, traceability).
  • Follow development best practices: version control, code review and performance optimization.

Qualifications :

  • Bachelor’s or master’s degree in computer science, software engineering or a related field.
  • 4 (four) to 8 (eight) years of experience in IT.
  • 4 (four) to 7 (seven) years of experience in data analysis.
  • 3 (three) years of experience in the Québec health network.
  • 1 (one) year of experience with Fabric or Databricks.
  • Participation in at least two analytics solution mandates integrating clinical systems (Clinibase, MED-ECHO, SIURGE, etc.).
  • Proficiency in T-SQL, Python, DAX, JSON, Git and Power BI.
  • Strong data modeling skills (star schemas, data warehouses).
  • Knowledge of Azure (Data Lake, Data Factory) and Microsoft Purview.
  • Excellent command of the MS Office suite.
  • Strong communication and writing skills in French and English.
  • Mobility.

Start date :

As soon as possible

Location :

Montreal or Quebec city

Number of positions available :

4 positions

Salary :

To be discussed

Read the full bilingual original

English will follow

Qui nous sommes :

Nous sommes une entreprise Canadienne de consultation qui offre des services de conseils en ingénierie et en sciences dans le secteur Pharmaceutique, Biopharmaceutique, Agroalimentaire, Cosmétique, des Dispositifs Médicaux et des Technologies de l’Information et des Communications. Nous travaillons de concert avec nos clients afin d’offrir un service sur mesure qui répond à leurs besoins et leurs exigences opérationnelles. Grâce à son personnel compétent et qualifié, FOP Consultants a pour mission de desservir sa clientèle dans le domaine du conseil en Amérique du Nord et ailleurs dans le monde.

Description sommaire du poste proposé :

Afin de combler les besoins de ses clients dans le secteur des TI, FOP Consultants est à la recherche de consultants en ingénierie de données motivés à la réalisation de mandats. Les principales missions seraient de collecter, nettoyer et analyser les données de l’organisation, de concevoir des rapports et des tableaux de bord, de repérer les tendances et d’aider les équipes à prendre des décisions éclairées, appuyées par des données fiables.

Description spécifique des responsabilités :

Sans s’y limiter, les principales responsabilités du poste sont les suivantes :

  • Concevoir, développer et maintenir des pipelines de données robustes pour intégrer des sources variées, notamment des systèmes d’information cliniques provinciaux et d’établissements.
  • Bâtir et faire évoluer des architectures de données modernes (lakehouse, entrepôts de données) dans des environnements infonuagiques Microsoft.
  • Transformer les données brutes en modèles fiables et performants pour alimenter les tableaux de bord et rapports d’intelligence d’affaires.
  • Collaborer avec les équipes cliniques, administratives et TI afin de comprendre leurs besoins et de les traduire en solutions concrètes.
  • Contribuer au traitement de données en temps réel et à la mise en place d’architectures orientées événements.
  • Veiller à la qualité, à la sécurité et à la gouvernance des données (documentation, métadonnées, traçabilité).
  • Participer aux bonnes pratiques de développement : gestion de versions, revue de code, optimisation des performances.

Description du profil recherché :

  • Baccalauréat ou maîtrise en informatique, génie des logiciels ou toute autre discipline connexe.
  • 4 (quatre) à 8 (huit) années d’expérience dans le domaine des TI.
  • 4 (quatre) à 7 (sept) années d'expérience en analyse de données.
  • 3 (trois) années d'expérience dans le réseau de la santé du Québec.
  • 1 (un) an d’expérience avec Fabric ou Databricks.
  • Avoir participé dans au moins deux mandats en solutions analytiques intégrant des systèmes cliniques (Clinibase, MED-ECHO, SIURGE, etc.).
  • Maîtrise de T-SQL, Python, DAX, JSON, Git et Power BI.
  • Maîtrise de la modélisation de données (schémas en étoile, entrepôts de données).
  • Connaissance d’Azure (Data Lake, Data Factory) et de Microsoft Purview
  • Excellente maîtrise de la suite MS Office.
  • Bonne capacité de communication et de rédaction en Français et en Anglais.
  • Mobilité.

Entrée en fonction :

Le plus tôt possible

Lieux :

Montréal et/ou Québec

Nbre de postes à pourvoir :

4 postes

Salaire :

À discuter

..............................................................................................................................................................................................................................................

About us :

We are a Canadian consulting company that provides engineering and science consulting services in the Pharmaceutical, Biopharmaceutical, Agrifood, Cosmetics, Medical Devices and Information and Communication Technologies sectors. We work closely with our clients to provide a tailor-made service that meets their needs and operational requirements. Thanks to our competent and qualified staff, FOP Consultants has as mission to serve clients in North America and elsewhere in the world.

Brief description of the position :

In order to meet the needs of its clients in the IT sector, FOP Consultants is looking for data engineering consultants motivated to carry out mandates. The main responsibilities would be to collect, clean and analyze the organization’s data, design reports and dashboards, identify trends, and help teams make informed decisions backed by reliable data.

Main responsibilities :

Without limitation, the main tasks involve:

  • Design, develop and maintain robust data pipelines to integrate a variety of sources, including provincial and institutional clinical information systems.
  • Build and evolve modern data architectures (lakehouse, data warehouses) in Microsoft cloud environments.
  • Transform raw data into reliable, high-performing models to power business intelligence dashboards and reports.
  • Collaborate with clinical, administrative and IT teams to understand their needs and translate them into concrete solutions.
  • Contribute to real-time data processing and the implementation of event-driven architectures.
  • Ensure data quality, security and governance (documentation, metadata, traceability).
  • Follow development best practices: version control, code review and performance optimization.

Qualifications :

  • Bachelor’s or master’s degree in computer science, software engineering or a related field.
  • 4 (four) to 8 (eight) years of experience in IT.
  • 4 (four) to 7 (seven) years of experience in data analysis.
  • 3 (three) years of experience in the Québec health network.
  • 1 (one) year of experience with Fabric or Databricks.
  • Participation in at least two analytics solution mandates integrating clinical systems (Clinibase, MED-ECHO, SIURGE, etc.).
  • Proficiency in T-SQL, Python, DAX, JSON, Git and Power BI.
  • Strong data modeling skills (star schemas, data warehouses).
  • Knowledge of Azure (Data Lake, Data Factory) and Microsoft Purview.
  • Excellent command of the MS Office suite.
  • Strong communication and writing skills in French and English.
  • Mobility.

Start date :

As soon as possible

Location :

Montreal or Quebec city

Number of positions available :

4 positions

Salary :

To be discussed

More about this job

Responsibilities

Design, develop, and maintain data pipelines and modern cloud data architectures, integrating varied sources including clinical information systems. Transform raw data into reliable models and dashboards, collaborate with clinical, administrative, and IT teams, support real-time and event-driven processing, and uphold data quality, security, governance, and development best practices.

Requirements

Requires a bachelor's or master's degree in computer science, software engineering, or a related field, along with 4–8 years of IT experience, 4–7 years in data analysis, and 3 years in Quebec's health network. Candidates should have experience with Fabric or Databricks and at least two analytics projects integrating clinical systems, plus proficiency in the listed data tools and strong French and English communication skills.

Skills

  • Data Engineering
  • Data Pipeline Development
  • Data Analysis
  • T-SQL
  • Python
  • DAX
  • JSON
  • Git
  • Power BI
  • Data Modeling
  • Azure Data Lake
  • Azure Data Factory
  • Microsoft Fabric
  • Databricks
  • Microsoft Purview
  • Data Governance

Visa sponsorship

Not detected in the job text

Categories

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

Keywords

  • Data Engineering
  • Data Pipelines
  • Clinical Information Systems
  • Healthcare Data
  • Microsoft Azure
  • Microsoft Fabric
  • Databricks
  • Lakehouse
  • Data Warehousing
  • Data Modeling
  • Star Schemas
  • T-SQL
  • Python
  • DAX
  • JSON
  • Git
  • Power BI
  • Azure Data Lake
  • Azure Data Factory
  • Microsoft Purview
  • Business Intelligence
  • Real-Time Data Processing
  • Event-Driven Architecture
  • Data Quality
  • Data Security
  • Data Governance
  • Metadata
  • Data Lineage
  • Performance Optimization
  • Quebec Health Network

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