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Data Engineer Manager Jobs in Quebec (NOW HIRING)

Define and develop the sector's data management strategy * Design, develop and maintain large-scale ... engineering * Advanced knowledge of SQL and Python * Experience with cloud platforms and ...

Posted today

Data Developer II

Sherbrooke, QC ยท On-site

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... Utilize cloud-native data services, including Azure Storage, to optimize data management and ...

Data Developer II

Sherbrooke, QC ยท On-site

CA$35.06 - CA$46/hr

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM ... Utilize cloud-native data services, including Azure Storage, to optimize data management and ...

This is neither an architect nor a project management role; therefore, candidates with primarily ... Profiles of data engineers outside of Azure without demonstrated transferability to Data Factory ...

Ensure data quality through testing, validation, and anomaly management. Document transformations ... A BI Developer role focused primarily on report and dashboard production. This is a role at the ...

As a senior member of the team, you'll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while ...

Senior Data Developer Who We Are 2K is headquartered in Novato, California and is a wholly owned ... Partner with product managers and studio leaders to solve data bottlenecks and design backends for ...

Our PT technology strategy is built on automation, workflow orchestration, and data engineering ... This is a people-management role: you will own the automation and tooling roadmap for PT, direct a ...

Showing results 21-40

Data Engineer Manager information

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Quebec? The most popular types of Data Engineer jobs in Quebec are:
What are popular job titles related to Data Engineer Manager jobs in Quebec? For Data Engineer Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Quebec look for? The top searched job categories for Data Engineer Manager jobs in Quebec are:
What cities in Quebec are hiring for Data Engineer Manager jobs? Cities in Quebec with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Quebec as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Lead AI & Data Engineer / Lead Ingnieur/ingnieure IA & Donnes

MIA Innovation

Montreal, QC โ€ข On-site

Other

Re-posted 7 days ago


Job description

Salary:

Tu cherches un dfi ambitieux en tant que Lead AI Engineer Montral ?

Rejoins MIA Innovation.


propos de nous

MIA Innovation est une entreprise qubcoise spcialise en intelligence artificielle applique et en dveloppement logiciel sur mesure.

Notre mission : concevoir, industrialiser et dployer des solutions IA robustes, utiles et rentables pour les entreprises canadiennes.

Nous ne faisons pas des POC qui restent dans un notebook.
Nous construisons des systmes qui vivent en production.


Notre exigence :

  • Data exploitable, valide et structure
  • Architectures solides et scalables
  • Industrialisation relle
  • Performance mesurable


Nos projets couvrent :

  • Analyse et structuration de documents complexes (NLP, RAG)
  • Extraction intelligente connecte SAP / ERP / CRM
  • Scoring & prdiction mtier
  • Automatisation IA intgre aux systmes clients


Pour franchir un nouveau cap, nous recrutons notre pilier IA Data.

Un profil hands-on.
Un builder.
Un architecte qui code.


Ton rle

Tu seras responsable de la solidit technique de nos projets IA.

Concrtement, tu vas :

  • Concevoir des architectures IA robustes (RAG, extraction, classification, scoring, agents)
  • Structurer les pipelines dingestion et de validation data
  • Dfinir les standards techniques IA de lentreprise
  • Dvelopper et dployer des solutions en production (Azure, GCP)
  • Mettre en place le monitoring, lvaluation et le contrle qualit des modles
  • Rduire les risques techniques ds la phase de cadrage
  • Challenger les choix darchitecture et les dcisions techniques
  • Accompagner et faire monter lquipe

Ce poste est hands-on.
Tu codes. Tu dploies. Tu structures.


Ce quon attend de toi

Tu as dj :

  • Livr des systmes IA en production
  • Construit des pipelines data robustes
  • Gr des contraintes cloud, scurit et performance
  • Travaill avec des donnes imparfaites, volumineuses ou sensibles

Tu es capable de :

  • Penser architecture et cot en mme temps
  • valuer la qualit data avant de modliser
  • Construire des solutions maintenables
  • Arbitrer entre performance, robustesse et time-to-market
  • Dire non quand il faut dire non
  • T'intgrer dans des environnements modernes (Cloud) mais aussi de naviguer avec des systmes Legacy (vieux ERP, on-premise, contraintes matrielles).

Exprience attendue :

  • 6+ ans en AI Engineering / ML Engineering / Data Engineering
  • Matrise avance de Python
  • Exprience en NLP / IA gnrative apprcie
  • Exprience relle en dploiement cloud (Azure, GCP ou AWS)
  • Connaissances MLOps, CI/CD, conteneurisation


Stack technique

IA & Data


  • Python
  • Pipelines data
  • Modles ML / NLP
  • Embeddings / RAG (atout fort)
  • valuation et monitoring

Production

  • APIs
  • Intgration ERP / CRM
  • Docker
  • CI/CD
  • Logging & monitoring

Cloud

  • Azure et/ou GCP


Pourquoi nous rejoindre ?

  • Projets IA concrets et dploys
  • Entreprise qubcoise en croissance
  • Impact direct sur larchitecture de lentreprise
  • Autonomie relle
  • Possibilit dvolution vers Head of AI
  • Environnement exigeant, ambitieux et humain
  • Bureau au HUB-IA Place des Arts (2j/semaine)


Ce quon ne cherche pas

  • Un profil purement acadmique
  • Un data scientist qui ne fait que du modeling
  • Un manager qui ne code plus


Ce quon cherche

Un btisseur.

Quelquun qui veut structurer une quipe IA ambitieuse et faire de MIA une rfrence technique au Canada.


Au plaisir de te rencontrer!