Publié il y a 10 heures
Senior Data Analytics Developer
@ Coveo
Montréal, Québec
En bref
Coveo is hiring a Senior Data Developer to build and scale the data platform behind its product, designing core data models and pipelines that power product reporting, insights, machine learning and AI agents. The work involves dbt, Snowflake, Databricks and Python across hundreds of millions of daily events.
Responsabilités :
- Design data models for product reporting and insights
- Build batch and streaming data pipelines with tests and monitoring
- Build AI agents that query data models
- Improve data reliability, performance and maintainability
Résumé des exigences :
- About 5 years of similar experience
- Python, dbt, Snowflake and Databricks
- Strong SQL, ETL and data warehousing knowledge
- Automated testing and code quality practices
- Cloud experience, ideally AWS
Outils et compétences
Source et dates
Site carrière / système de candidatures · greenhouse
- Date publiée par l’employeur
- 2026-11-06
- Première détection par notre source
- 2026-11-06
- Mise à jour du dossier source
- 2026-11-06
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Expérience | 5 an(s) et plus |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Coveo
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Coveo is the leader in AI-Relevance, powering AI-search & GenAI to drive results at every digital point-of-experience.
Description complète de l’entreprise
Coveo is the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience.
- Abonnés LinkedIn
- 58 876
- Personnes associées sur LinkedIn
- 829
- Bureaux déclarés
- 1100 Avenue des Canadiens-de-Montréal, Suite 401, Montréal, Quebec H3B 2S2, CA
- 3175 des Quatre-Bourgeois, Suite 200, Quebec City, Quebec G1W 2K7, CA
- 44 Montgomery St, San Francisco, California 94105, US
- The Bloomsbury Building 10 Bloomsbury Way, London, England WC1A 2SL, GB
- Schoutlaan 13 6002 EA, Weert, NL
- Catégories d’activité
- Developer Platform
- Information Technology
- Artificial Intelligence
- Search Engine
- Generative AI
- Enterprise Software
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Development Coveo EN
- Coveo
- Spécialités
- Intelligent Search
- Coveo for Sitecore
- Coveo for Salesforce
- AI
- Machine Learning
- Knowledge Management
- AI-Powered Search
- Coveo for SAP
- Personalization
- and Customer Experience
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 357 845 587
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Coveo is the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 501-1,000 employees |
| Siège social | Montréal, Quebec |
| Type d’organisation | Public Company |
| Fondée en | 2005 |
| Spécialités | Intelligent SearchCoveo for SitecoreCoveo for SalesforceAIMachine LearningKnowledge ManagementAI-Powered SearchCoveo for SAP Personalizationand Customer Experience |
| Offres sur Jobsy | 31 |
| Voir la page |
Build the data foundation powering Coveo's next generation of product innovation.
Are you passionate about building the data foundations that power innovative products? As a Senior Data Developer, you’ll help build and scale the data platform behind Coveo’s product. You’ll design the core data models and shared datasets that power product reporting, customer-facing insights, machine learning, and AI agents.
You’ll also strengthen data quality and pipeline reliability, working with dbt, Snowflake, Databricks, and Python to process hundreds of millions of events daily. Your work will directly support the development of data-driven product features, helping our teams turn complex data into meaningful product improvements.
Here is a glimpse of your responsibilities:
- Work with product engineering to turn questions about how users interact with Coveo into well-defined data models.
- Build and maintain pipelines that process hundreds of millions of events a day, with tests and monitoring to keep them reliable.
- Design batch and streaming transformations, from incremental dbt models in Snowflake to PySpark Structured Streaming jobs in Databricks, and choose the right one for each use case based on latency, cost and data volume.
- Take ownership of complex data engineering initiatives, proactively improving data reliability, performance and maintainability while sharing your expertise with teammates
- Build AI agents that query our data models directly, and improve their answers by refining the models and definitions they rely on.
Here is what will qualify you for the role:
- You have 5 years of experience in a similar role, with expertise in building data pipelines, data models, and analytics for large-scale distributed systems.
- You possess a strong engineering background, with hands-on experience in Python, dbt, Snowflake and Databricks.
- You have in-depth knowledge of SQL, ETL processes, data warehousing, and Data Lake architecture.
- You have experience with automated testing frameworks and a commitment to code quality, including unit testing, integration testing, and code coverage metrics.
- You excel at working collaboratively with cross-functional teams and possess exceptional written and verbal communication skills on both technical and non-technical subjects.
- You have experience with cloud providers, ideally AWS.
What would make you stand out:
- Experience with PySpark and structured streaming, particularly in a product development environment.
- Experience with orchestrating complex workflows using tools such as Airflow, Dagster or Prefect.
- Familiarity with infrastructure as code and with CI/CD tools such as Jenkins, Github Actions, etc to automate testing, deployment, and integration processes.
- Hands-on experience with containerizing applications and managing them at scale using orchestration platforms.
Do you think you can bring this role to life? Send us your application, we want to hear from you!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact [email protected] to discuss your needs.
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