Publié il y a 7 jours
Senior Data Consultant – Databricks
@ Keyrus Canada
En bref
Keyrus Canada is hiring a Senior Data Consultant for a full-time, hybrid role in Toronto or Montreal, with 2 office days per week. The work centres on Databricks data pipelines, transformations and production support, plus Power BI reporting. The posting states a base salary of $110,000 to $120,000 CAD annually.
Salaire :
110 000 $–120 000 $ par année
Responsabilités :
- Develop and optimize Databricks pipelines and transformations
- Ensure data quality through testing and production incident resolution
- Validate requirements and acceptance criteria with stakeholders
- Support Power BI reporting and BI solutions
- Maintain technical documentation and operational handoffs
Résumé des exigences :
- 5+ years in data engineering or consulting
- 3+ years hands-on Databricks pipeline development
- Strong SQL, PySpark, Python and notebook skills
- Experience with lakehouse and medallion architectures
- Production support and incident troubleshooting experience
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · teamtailor
- Date publiée par l’employeur
- 2026-11-03
- Première détection par notre source
- 2026-11-04
- Mise à jour du dossier source
- 2026-11-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English, French |
| Avantages mentionnés | Congés payés généreux, Régime de retraite, Mieux-être, Formation payée, Allocation de télétravail |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Keyrus Canada
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.
We operationalize intelligence.
Description complète de l’entreprise
As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective. Our value proposition is built on diverse service groups: Automation & Artificial Intelligence: We provide our clients with the tools to enhance productivity and accuracy across their processes, allowing them to focus on higher-value work. Human-Centered Digital Experience: Customer relationships and employee engagement are two of the biggest contributors to business success. We help companies design and create seamless, multimodal digital experiences to achieve their goals. Data & Analytics Implementation: Data is an undeniable key to business success. When leveraged intelligently, it unlocks unique opportunities to tackle present and future challenges. Cloud & Security: Cloud computing and digital platforms have the potential to revolutionize how data is transformed into value, taking scalability and flexibility to the next level. We ensure that all your data remains protected and confidential. Transformation & Innovation: To thrive in today’s ecosystem, businesses must not only accelerate their digital transformation but also develop the skills necessary to enhance adaptability, resilience, and competitiveness. We help our clients successfully transform to build a better future. With over 3,000 employees and a presence in 28 countries across 4 continents, Keyrus is a leading international expert in data, consulting, and technology.
- Abonnés LinkedIn
- 253 685
- Personnes associées sur LinkedIn
- 2 020
- Bureaux déclarés
- 157 rue Anatole France, Levallois-Perret, Cedex 92593, FR
- 252 W 37th St, New York, 10018, US
- Carretera de Pozuelo, 34, 1D, Majadahonda, Comunidad de Madrid 28220, ES
- Nijverheidslaan 3/2, Strombeek-Bever, Région flamande 1853, BE
- Drève Richelle 161, Lasne, Waterloo , 1380, BE
- 57, Route de Longwy, Bertrange, Luxembourg 8080, LU
- 29 Throgmorton Avenue, Londres, Angleterre EC2N 2AT, GB
- 5, Rue Jacques Daguerre, Nantes, Pays de la Loire 44306, FR
- Rue d'italie 11, Genève, 1204, CH
- Plaça de Gal·la Placídia, Barcelone, Catalogne 08006, ES
- 387A rue Saint Paul Ouest, Montréal, Quebec H2Y 2A7, CA
- 1 University Ave, Toronto, Ontario M5J 2P1, CA
- 1440 G St NW, Washington, District de Columbia 20005, US
- 10000 Washington Blvd, Culver City, Californie 90232, US
- Avenida Paulista 2439, 11º andar, São Paulo, 01311-936, BR
- Avenida Luiz Eduardo Toledo Prado, Ribeirao Preto, Sao Paulo 14027-250, BR
- 79 Boulevard Stalingrad, Villeurbanne, Auvergne-Rhône-Alpes 69100, FR
- 225, Avenue de Galilée, Aix-en-Provence, Provence-Alpes-Côte d’Azur 13290, FR
- 99 Carrera 11B, Bogota, Bogota, D.C., CO
- 14 rue Ahmed Rami, Tunis, Tunisie 1002, TN
- 10 Flanders Drive, Durban, KwaZulu-Natal 4302, ZA
- 82 Maude St, Johannesburg, Gauteng 2196, ZA
- Régus Boulevard Lascrosses, 8 Esp. Compans Caffarelli, Toulouse, Occitanie 31000, FR
- Avenue Saint Jean, Ile Maurice, Ile Maurice , Ile Maurice , MU
- Quais des Chartrons - Hangar 15, Bordeaux, Nouvelle-Aquitaine 33300, FR
- 37 Boulevard Abdelatif Benkadour, Casablanca, Maroc , MA
- 21 Bar Kochva Street, Bnei Brak, Israel 5126016, IL
- 40th Street PO, Dubai, 26132, AE
- Al Falah Street, Abu Dhabi, Abū Dhabī 129354, AE
- 145 PuJian Road Pudong District, Shanghai, Chine 200127, CN
- 122-124 Connaught Road Central, Sheung Wan, Hong Kong , HK
- 96 Robinson Road, #15-04 SIF Building, Singapore, 068899, SG
- 400 Avenue de Roumanille, Sophia-Antipolis, 06906, FR
- Le Pod, 7 Rue de Châtillon Immeuble Identity 3, Rennes, 35000, FR
- Av. Netzahualcoyotl 1597, Int. 504, Zapopan, Jalisco 45050, MX
- Catégories d’activité
- Information Technology
- Information Services
- Professional Services
- Management Consulting
- Architecture
- Autres noms enregistrés
- Keyrus UK
- Keyrus USA
- KeyrusSA
- Keyrus Group
- Keyrus France
- Keyrus EPM
- Keyrus Group
- Keyrus MEA
- Keyrus Portugal
- Keyrus Canada
- Keyrus Canada EN
- Keyrus Belgium
- Keyrus Brazil
- Keyrus Canada FR
- Keyrus Colombia
- Keyrus Spain
- Keyrus
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
As an international player in consulting and technology, Keyrus is committed to making sense of data by revealing its full potential, particularly from a human perspective. Our value proposition is built on diverse service groups: Automation & Artificial Intelligence: We provide our clients with the tools to enhance productivity and accuracy across their processes, allowing them to focus on higher-value work…
| Champ | Valeur |
|---|---|
| Secteur | Information Technology & Services |
| Taille | 1,001-5,000 employees |
| Siège social | Levallois-Perret, Cedex |
| Type d’organisation | Privately Held |
| Fondée en | 1996 |
| Offres sur Jobsy | 7 |
| Voir la page |
Why Keyrus, Why Now!
Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.
For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.
Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.
At Keyrus, you'll work closely with clients to develop, optimize, and support enterprise data and analytics solutions, combining Databricks, data engineering, and business intelligence capabilities to deliver reliable business insights.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role details
• Location: Hybrid - Toronto or Montreal, Canada (2 days per week in the office)
• Contract: Full-time
What you'll architect
As a Senior Data Consultant, you'll support and enhance enterprise data and analytics environments, with a strong focus on Databricks engineering, data pipelines, and production support.
You'll develop and optimize data transformations, maintain reliable analytics pipelines, and troubleshoot complex issues across production environments, while contributing to reporting and business intelligence solutions, including Power BI.
Your role requires technical autonomy, strong problem-solving skills, and the ability to deliver high-quality solutions under demanding client expectations while contributing to continuous improvement.
Your responsibilities
• Develop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks, supporting modern lakehouse and medallion architectures (Bronze, Silver, Gold).
• Ensure data quality, reliability, and performance through pipeline testing, QA validation, gap analysis, troubleshooting, and production incident resolution.
• Collaborate with business and technical stakeholders to validate requirements, project scope, and acceptance criteria before development.
• Proactively identify and communicate blockers, dependencies, and delivery risks, ensuring transparency and timely resolution throughout the project.
• Own technical deliverables end-to-end, presenting completed solutions, explaining technical decisions, and obtaining stakeholder validation and acceptance.
• Support business intelligence and reporting solutions, including Power BI, while contributing to continuous improvement and emerging AI-assisted data engineering workflows.
• Maintain clear technical documentation, contribute to engineering standards, and ensure effective knowledge transfer and operational handoffs.
Who you are
You are an experienced Data Consultant with strong hands-on expertise in Databricks, SQL, and modern data engineering. You are comfortable working independently in demanding production environments, investigating complex technical issues, and delivering reliable analytics solutions. You bring strong analytical thinking, attention to detail, and a consulting mindset, with the flexibility to contribute to business intelligence and reporting initiatives.
What you bring
Experience
• 5+ years of professional experience in data engineering, data consulting, or related data and analytics roles.
• 3+ years of hands-on experience developing, maintaining, and optimizing Databricks pipelines and data transformations.
• Proven experience working with modern lakehouse architectures, distributed data environments, and pipeline orchestration.
• Experience supporting production analytics environments, including QA validation, gap analysis, and incident resolution.
• Experience collaborating with business stakeholders and technical teams, with ownership of technical deliverables.
• Exposure to business intelligence and reporting solutions, preferably Power BI.
Technical skills
• Strong Databricks development experience using Spark/PySpark, Python, SQL, and notebooks, including Delta Lake and lakehouse/medallion architectures.
• Experience with Unity Catalog for data governance, access management, and organization of data assets.
• Data pipeline orchestration and automation using Databricks Jobs, Lakeflow Pipelines, and Databricks Declarative Automation Bundles.
• Strong SQL and data engineering capabilities, including incremental data processing, pipeline testing, validation, and troubleshooting.
• Experience with performance and cost optimization across Databricks workloads and production data pipelines.
• Azure DevOps, CI/CD practices, version control, and development workflows in distributed data environments.
• Familiarity with AI-assisted development, Databricks Genie Agents / Conversational Analytics, and agentic data engineering workflows.
Nice to have
• Hands-on Power BI development, including DAX, data modeling, and report performance optimization.
• Experience with MCP servers or similar orchestration frameworks.
• Consulting experience in demanding client environments.
• Experience supporting migrations, divestitures, or complex transformation initiatives.
• Familiarity with SAP Datasphere.
• Experience contributing to AI-assisted or agentic data engineering practices.
What makes you successful
• You build and maintain reliable Databricks data solutions.
• You troubleshoot complex production issues independently.
• You communicate clearly and collaborate effectively with stakeholders.
• You maintain high standards of data quality and delivery.
What we offer at Keyrus
• A stimulating environment where you can challenge yourself and discover new horizons.
• A strong culture of innovation and entrepreneurship.
• Opportunities to celebrate success through team activities, social events, and special celebrations.
• Comprehensive group insurance for you and your family.
• RRSP and DPSP participation plans.
• Monthly wellness allowance.
• Telecommunication reimbursement.
• 4 weeks of paid vacation.
• Language courses (French and English).
• Access to continuous learning through certifications, conferences, training programs, and industry events.
The expected base compensation for this position ranges from $110,000 to $120,000 CAD annually, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.
About Keyrus
At Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.
As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.
Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:
• Intelligence Foundations
• Human in Command governance
• Performance Steering
With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.
AI does not transform businesses. Architected intelligence does.
For more information: www.keyrus.com
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