English section of this bilingual listing.
We are seeking a talented and proactive BI Developer for a full-time contract opportunity based in Montreal, Canada. In this role, you will take on a vital business intelligence, data engineering, and analytics visualization capacity, specializing in designing scalable data models, engineering robust cloud data pipelines, and delivering actionable decision-support reporting solutions.
Operating within a hybrid work model in Montreal, you will bridge the gap between enterprise operational data stores, modern cloud data platforms, and cross-functional business stakeholders. You will model complex enterprise transactional data including SAP data structures within Snowflake using Matillion ETL/ELT pipelines and AWS cloud services. Additionally, you will build intuitive visual dashboards in Tableau and Power BI and develop supporting ASP.NET application components to enable seamless data integration. This position demands an analytics practitioner with strong SQL proficiency, modern cloud data warehousing expertise, dimensional modeling capabilities, and effective communication skills to translate business requirements into impactful BI solutions.
Location: Montreal, Canada
Assignment Type: Hybrid (3 days onsite, 2 days remote per week)
Contract Duration: 6-month contract (with extension potential)
Avantages
Modern Cloud Analytics: Build high-performance data models and pipelines utilizing Snowflake, Matillion, and AWS cloud services.
Dual Visualization Stack: Create interactive, executive-ready dashboards across both Tableau and Microsoft Power BI.
Enterprise Data Scope: Gain hands-on exposure modeling complex enterprise data structures from SAP ECC and S/4HANA systems.
Balanced Hybrid Model: Enjoy flexibility with a structured schedule requiring 3 days onsite and 2 days work from home.
Responsabilités
Design dimensional and analytical data models utilizing star and snowflake schemas to establish scalable, reliable business intelligence architectures.
Develop, tune, and maintain advanced SQL queries, views, stored procedures, and analytical data transformations in Snowflake.
Build, schedule, and optimize enterprise ETL and ELT data pipelines utilizing Matillion.
Utilize AWS cloud services - including S3 data storage, compute instances, SQS message queues, SNS notifications, and Lambda functions - to support data ingestion and processing workflows.
Create, optimize, and maintain interactive visual dashboards and operational reports in Tableau and Microsoft Power BI to deliver actionable insights.
Model and transform complex transactional data from enterprise systems like SAP ECC and S/4HANA into standardized, business-friendly analytical structures.
Collaborate closely with business stakeholders to elicit reporting requirements, define key performance indicators (KPIs), and deliver scalable data-driven solutions.
Develop, enhance, and support applications using ASP.NET to facilitate reporting needs and custom data integration workflows.
Support ongoing organizational rebranding initiatives, system transitions, and reporting updates.
Utilize Jira and Confluence to manage Agile sprint planning, backlog refinement, task execution, and technical documentation.
Conduct data validation, reconciliation checks, and quality assurance testing across data pipelines and reporting outputs.
Qualifications
Core Technical & Business Intelligence Requirements
Professional Experience: Minimum 3+ years of full-time professional experience in Business Intelligence, Data Engineering, or Analytics Engineering.
Advanced SQL & Modeling: Expert-level SQL querying and optimization skills, with demonstrated experience designing dimensional star and snowflake data models.
Cloud Data Warehousing: Solid hands-on experience developing and managing data models within the Snowflake data platform.
ETL/ELT Tools: Proven practical experience building and optimizing data transformation pipelines using Matillion.
AWS Cloud Services: Practical proficiency utilizing core AWS cloud services, including storage, compute, SQS, SNS, and AWS Lambda.
Data Visualization: Hands-on experience developing reports and interactive dashboards in Tableau and Microsoft Power BI.
SAP Data Structures: Hands-on experience analyzing and modeling transactional data from SAP ECC or SAP S/4HANA systems.
Application Development: Practical experience with ASP.NET or general web application development supporting data integration.
Preferred Technical Assets & Methodologies
Certifications: Snowflake certification or AWS analytics certifications are considered an asset.
Advanced Analytics & Scripting: Experience with DAX modeling in Power BI, Python scripting for data automation, or Git version control workflows.
Emerging Technologies: Foundational knowledge of Machine Learning concepts and Large Language Models (LLMs) is considered a plus for long-term initiatives.
Industry Background: Prior experience working within manufacturing or energy industry sectors.
Soft Skills & Delivery Attributes
Agile Collaboration: Demonstrated experience working effectively within Agile/Scrum delivery teams and sprint cadences.
Analytical Problem Solving: Strong critical thinking skills to analyze complex source systems, troubleshoot pipeline bottlenecks, and resolve data discrepancies.
Communication & Stakeholder Management: Excellent written and verbal communication skills with the ability to translate business needs into technical specifications and collaborate across cross-functional groups.
Sommaire
If you're interested in the "BI Developer" role based in Montreal, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Read the full bilingual original
We are seeking a talented and proactive BI Developer for a full-time contract opportunity based in Montreal, Canada. In this role, you will take on a vital business intelligence, data engineering, and analytics visualization capacity, specializing in designing scalable data models, engineering robust cloud data pipelines, and delivering actionable decision-support reporting solutions.
Operating within a hybrid work model in Montreal, you will bridge the gap between enterprise operational data stores, modern cloud data platforms, and cross-functional business stakeholders. You will model complex enterprise transactional data including SAP data structures within Snowflake using Matillion ETL/ELT pipelines and AWS cloud services. Additionally, you will build intuitive visual dashboards in Tableau and Power BI and develop supporting ASP.NET application components to enable seamless data integration. This position demands an analytics practitioner with strong SQL proficiency, modern cloud data warehousing expertise, dimensional modeling capabilities, and effective communication skills to translate business requirements into impactful BI solutions.
Location: Montreal, Canada
Assignment Type: Hybrid (3 days onsite, 2 days remote per week)
Contract Duration: 6-month contract (with extension potential)
Avantages
Modern Cloud Analytics: Build high-performance data models and pipelines utilizing Snowflake, Matillion, and AWS cloud services.
Dual Visualization Stack: Create interactive, executive-ready dashboards across both Tableau and Microsoft Power BI.
Enterprise Data Scope: Gain hands-on exposure modeling complex enterprise data structures from SAP ECC and S/4HANA systems.
Balanced Hybrid Model: Enjoy flexibility with a structured schedule requiring 3 days onsite and 2 days work from home.
Responsabilités
Design dimensional and analytical data models utilizing star and snowflake schemas to establish scalable, reliable business intelligence architectures.
Develop, tune, and maintain advanced SQL queries, views, stored procedures, and analytical data transformations in Snowflake.
Build, schedule, and optimize enterprise ETL and ELT data pipelines utilizing Matillion.
Utilize AWS cloud services - including S3 data storage, compute instances, SQS message queues, SNS notifications, and Lambda functions - to support data ingestion and processing workflows.
Create, optimize, and maintain interactive visual dashboards and operational reports in Tableau and Microsoft Power BI to deliver actionable insights.
Model and transform complex transactional data from enterprise systems like SAP ECC and S/4HANA into standardized, business-friendly analytical structures.
Collaborate closely with business stakeholders to elicit reporting requirements, define key performance indicators (KPIs), and deliver scalable data-driven solutions.
Develop, enhance, and support applications using ASP.NET to facilitate reporting needs and custom data integration workflows.
Support ongoing organizational rebranding initiatives, system transitions, and reporting updates.
Utilize Jira and Confluence to manage Agile sprint planning, backlog refinement, task execution, and technical documentation.
Conduct data validation, reconciliation checks, and quality assurance testing across data pipelines and reporting outputs.
Qualifications
Core Technical & Business Intelligence Requirements
Professional Experience: Minimum 3+ years of full-time professional experience in Business Intelligence, Data Engineering, or Analytics Engineering.
Advanced SQL & Modeling: Expert-level SQL querying and optimization skills, with demonstrated experience designing dimensional star and snowflake data models.
Cloud Data Warehousing: Solid hands-on experience developing and managing data models within the Snowflake data platform.
ETL/ELT Tools: Proven practical experience building and optimizing data transformation pipelines using Matillion.
AWS Cloud Services: Practical proficiency utilizing core AWS cloud services, including storage, compute, SQS, SNS, and AWS Lambda.
Data Visualization: Hands-on experience developing reports and interactive dashboards in Tableau and Microsoft Power BI.
SAP Data Structures: Hands-on experience analyzing and modeling transactional data from SAP ECC or SAP S/4HANA systems.
Application Development: Practical experience with ASP.NET or general web application development supporting data integration.
Preferred Technical Assets & Methodologies
Certifications: Snowflake certification or AWS analytics certifications are considered an asset.
Advanced Analytics & Scripting: Experience with DAX modeling in Power BI, Python scripting for data automation, or Git version control workflows.
Emerging Technologies: Foundational knowledge of Machine Learning concepts and Large Language Models (LLMs) is considered a plus for long-term initiatives.
Industry Background: Prior experience working within manufacturing or energy industry sectors.
Soft Skills & Delivery Attributes
Agile Collaboration: Demonstrated experience working effectively within Agile/Scrum delivery teams and sprint cadences.
Analytical Problem Solving: Strong critical thinking skills to analyze complex source systems, troubleshoot pipeline bottlenecks, and resolve data discrepancies.
Communication & Stakeholder Management: Excellent written and verbal communication skills with the ability to translate business needs into technical specifications and collaborate across cross-functional groups.
Sommaire
If you're interested in the "BI Developer" role based in Montreal, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada s'engage à favoriser une main-d'œuvre représentative de toutes les populations du Canada. Nous nous engageons en conséquence à développer et à mettre en œuvre des stratégies pour promouvoir l'équité, la diversité et l'inclusion dans toutes nos sphères d'activité en examinant nos politiques, pratiques et systèmes internes tout au long du cycle de vie de notre main-d'œuvre, y compris au niveau du recrutement, de la rétention et de l'avancement pour tout individu. En plus de notre profond engagement sur le respect des principes des droits de la personne, nous nous engageons à prendre toute mesure positive pour influer sur les changements à mettre en place en vue de garantir la participation de tout individu dans le monde du travail et ce, sans obstacle, systémique ou autre, en particulier pour les groupes en quête d'équité généralement sous-représentés dans la main-d'œuvre au Canada, y compris les personnes qui s'identifient comme femmes ou personnes non-binaires/non conformes au genre, les Peuples et communautés autochtones, les personnes en situation de handicap (visible ou invisible), les personnes faisant partie des minorités visibles, les personnes racisées et des communautés LGBTQ2+.
Randstad Canada s'engage à créer et à maintenir un milieu de travail inclusif et accessible pour toutes les personnes candidates et employés en soutenant leurs besoins d'accessibilité et d'accommodation tout au long du cycle de vie de l'emploi. Nous demandons à toutes les personnes demandeuses d'emploi de bien vouloir identifier leurs besoins en matière d'accommodation en envoyant un courriel à accessibilite@randstad.ca pour s'assurer de leur capacité à participer pleinement au processus d'entrevue.
