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Added 13 mins ago
P&
Ingénieur analyste - Systèmes de contrôle / Engineer, Analyst - Control Systems
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Added 1 hour ago
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Avanquest

Ingénieur de plateforme Databricks / Databricks platform engineer (Montréal)

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Posting language: English · French
Posted: Oct 27, 2026

Original job description

English section of this bilingual listing.

At Avanquest, we build software that makes digital life genuinely easier, for everyday users and professionals alike, all over the world. Smooth document management, faster and safer devices, and browsing without the hassle: we spot the everyday frustrations and fix them. Millions of people around the world count on us. And we're just getting started.

We're growing fast, and we're hungry for more. With teams across North America and Europe, we tap into a wide range of perspectives to push our thinking further. AI isn't a buzzword here, it's a real engine for change. We use it to sharpen our products, break new ground, and build experiences that actually move the needle.

Creativity and boldness are welcome at every level. We don't want order-takers, we want builders. The best idea wins, no matter who it comes from. Here, personal ambition and team spirit don't compete, they feed each other. If you want to stretch yourself, make a real impact, and win as a team, you're in the right place.

What you'll be responsible for:

Design, develop, and implement robust and scalable data processing and ingestion pipelines.
Write, test, and maintain ETL and data cleaning scripts, particularly in Databricks.
Ensure continuous monitoring, maintenance, and optimization of existing data pipelines to guarantee their performance and reliability.
Ensure data lineage and data quality at every stage of processing.
Explore and deploy data storage solutions and tools suited to the team's needs.
Write and maintain documentation for data engineering processes and standards.

The profile we're looking for:

In-depth, proven experience with Databricks, required for this role.
Minimum 5 years of experience in a similar data engineering role.
Degree in computer science, engineering, or a related field.
Strong proficiency in Python and SQL.
Good knowledge of lakehouse concepts and ETL tools.
Knowledge of dbt and cloud platforms, an asset.

Here's what we offer:

Working at Avanquest means thriving in an environment where performance and well-being go hand in hand. We believe in flexibility, balance, and ongoing professional growth.

Here's what's waiting for you:

A flexible hybrid work model (office in Downtown Montreal), with the option to work remotely from abroad.
Competitive pay that recognizes your value and your talent.
A full insurance package for you and your family.
A bonus program that rewards your performance and your drive.
A generous vacation and time-off policy, because we believe in real rest.
We're committed to growing your potential and investing in your professional development.
A stimulating, diverse, and multicultural environment where every perspective counts.

We value and support diversity. We are committed to providing an environment that promotes inclusion and respect for all. We therefore encourage women, people of all gender identities, aboriginal people and people with disabilities to apply for our positions.

Visit our website: www.avanquestgroup.com

Read the full bilingual original

ENGLISH VERSION WILL FOLLOW

Chez Avanquest, on crée des logiciels qui simplifient vraiment la vie numérique de nos utilisateurs, particuliers comme professionnels, partout dans le monde. Gestion documentaire sans friction, performance et sécurité des appareils et navigation web sans compromis : on s'attaque aux irritants du quotidien et on les règle avec efficacité. Des millions d'utilisateurs à travers le monde nous font confiance. Et on n'a pas l'intention de s'arrêter là.

On est dans un élan de croissance ambitieux. Avec des équipes en Amérique du Nord et en Europe, on puise dans une diversité de perspectives pour innover encore plus. On a fait de l'IA un vrai levier de transformation. On l'utilise pour enrichir nos produits, repousser les limites et créer des expériences qui font vraiment la différence.

La créativité et l'audace sont les bienvenues à tous les niveaux. On ne cherche pas des exécutants, on cherche des gens qui ont envie de bâtir quelque chose. Les meilleures idées gagnent, peu importe d'où elles viennent. Ici, l'ambition individuelle et l'esprit d'équipe ne sont pas opposés, ils se décuplent. Si tu veux te dépasser, avoir un impact réel et faire partie d'une équipe qui célèbre ses succès ensemble, c'est exactement ce qu'on t'offre.

Les responsabilités qui te seront confiées :

Concevoir, développer et mettre en œuvre des pipelines de traitement et d'ingestion de données robustes et évolutifs.
Écrire, tester et maintenir des scripts d'ETL et de nettoyage de données, dans Databricks notamment.
Assurer la surveillance, la maintenance et l'optimisation continue des pipelines de données existants pour garantir leur performance et leur fiabilité.
Garantir la traçabilité (data lineage) et la qualité des données à chaque étape du traitement.
Explorer et déployer les solutions et outils de stockage de données adaptés aux besoins de l'équipe.
Rédiger et maintenir la documentation des processus et des normes d'ingénierie des données.

Le profil qu’on cherche :

Expérience approfondie et démontrée de Databricks, impérative pour ce poste.
Minimum 5 ans d'expérience dans un rôle similaire en ingénierie de données.
Diplôme en informatique, en ingénierie ou dans un domaine connexe.
Maîtrise solide de Python et de SQL.
Bonne connaissance des concepts de lakehouse et des outils ETL.
Connaissance de dbt et des plateformes cloud, un atout apprécié.

Ce qu’on offre :

Travailler chez Avanquest, c'est évoluer dans un environnement où performance et bien-être vont de pair. On croit à la flexibilité, à l'équilibre et au développement professionnel continu.

Voici ce qui t'attend :

Un mode de travail hybride flexible (bureau en plein centre ville de Montréal), avec la possibilité de télétravailler depuis l'étranger.
Une rémunération compétitive qui reconnaît ta valeur et ton talent.
Un package d'assurances complet pour toi et ta famille.
Un programme de bonification qui récompense ta performance et ton ambition.
Une politique de vacances et de congés généreuse, parce qu'on croit au vrai repos.
On s'engage à maximiser ton potentiel et à investir dans ton développement professionnel.
Un environnement stimulant, diversifié et multiculturel, où chaque perspective compte.

Nous valorisons la diversité et nous la soutenons. Nous nous engageons à offrir un environnement favorisant l’inclusion et le respect de tous. Nous encourageons donc les femmes, les personnes de toutes identités de genre, les personnes autochtones, en situation de handicap à envoyer leur candidature à nos postes.

Visitez notre site web : www.avanquestgroup.com

---------------------------

What you'll be responsible for:

Design, develop, and implement robust and scalable data processing and ingestion pipelines.
Write, test, and maintain ETL and data cleaning scripts, particularly in Databricks.
Ensure continuous monitoring, maintenance, and optimization of existing data pipelines to guarantee their performance and reliability.
Ensure data lineage and data quality at every stage of processing.
Explore and deploy data storage solutions and tools suited to the team's needs.
Write and maintain documentation for data engineering processes and standards.

The profile we're looking for:

In-depth, proven experience with Databricks, required for this role.
Minimum 5 years of experience in a similar data engineering role.
Degree in computer science, engineering, or a related field.
Strong proficiency in Python and SQL.
Good knowledge of lakehouse concepts and ETL tools.
Knowledge of dbt and cloud platforms, an asset.

Here's what we offer:

Working at Avanquest means thriving in an environment where performance and well-being go hand in hand. We believe in flexibility, balance, and ongoing professional growth.

Here's what's waiting for you:

A flexible hybrid work model (office in Downtown Montreal), with the option to work remotely from abroad.
Competitive pay that recognizes your value and your talent.
A full insurance package for you and your family.
A bonus program that rewards your performance and your drive.
A generous vacation and time-off policy, because we believe in real rest.
We're committed to growing your potential and investing in your professional development.
A stimulating, diverse, and multicultural environment where every perspective counts.

Visit our website: www.avanquestgroup.com

Apply About employer

More about this job

Responsibilities

Design, build, test, and maintain scalable data processing and ingestion pipelines, including ETL and data-cleaning scripts in Databricks. Monitor and optimize pipeline performance and reliability, ensure data quality and lineage, select suitable storage solutions, and maintain engineering documentation.

Requirements

Requires proven, in-depth Databricks experience and at least five years in a similar data engineering role. A degree in computer science, engineering, or a related field, strong Python and SQL skills, and knowledge of lakehouse concepts and ETL tools are required; dbt and cloud platform experience are assets.

Skills

Databricks
Data Engineering
Python
SQL
Data Pipeline Development
Data Ingestion
ETL
Data Cleaning
Data Quality
Data Lineage
Lakehouse Concepts
Data Storage
Pipeline Monitoring
Pipeline Optimization
dbt
Cloud Platforms

Benefits

Flexible Hybrid Work Model
Option to Work Remotely from Abroad
Competitive Pay
Health Insurance
Performance Bonus
Generous Vacation and Time Off
Professional Development

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Data Engineering
Python
SQL
ETL
Data Pipelines
Data Processing
Data Ingestion
Data Cleaning
Data Quality
Data Lineage
Lakehouse
Data Storage
Pipeline Monitoring
Pipeline Maintenance
Pipeline Optimization
dbt
Cloud Platforms
Engineering Documentation
Software Development
Artificial Intelligence

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