Consultant Senior R&D / Chercheur(se) en recherche opérationnelle pour développer des solutions d'IA et de Recherche Opérationnelle et d’aide à la décision.
Locations (9)
Paris, Île-de-France, France
Canada
Montréal, Quebec, Canada
Bruxelles, Belgium
Amsterdam, North Holland, Netherlands
New York, United States
Show all 9 locations
Londres, United Kingdom
Hong Kong, Hong Kong
Middle East
Responsibilities
Gérer des projets de bout en bout
Encadrer les consultants juniors à confirmés
Gérer la relation client
Participer au développement de l'activité par la conception et l'élaboration de propositions commerciales
Participer à la veille technologique et activité de R&D
As a Software Developer Intern on one of the Unified Platform teams, you'll be part of a tight knit team of software engineers working closely with internal users (analysts, quants, traders) to develop innovative systems that enable research and trading.
Seeking a Senior Full Stack Engineer to design, build, and support a cloud-native, microservices-based platform running on Azure Kubernetes Service (AKS).
Responsibilities
Design, develop, test, and maintain front-end applications using React, Redux, and TypeScript.
Build and secure REST API endpoints in the Node.js/TypeScript Backend-for-Frontend (BFF) layer.
Develop and support Java-based services, including PDF generation services.
Improve platform reliability and resilience on Azure Kubernetes Service (AKS).
Ensure applications meet accessibility standards (WCAG), including screen-reader compatibility.
Software Engineer for Lyft Ads, focusing on backend and data engineering to build systems and pipelines for the world’s largest transportation media network.
Compensation
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits.
Responsibilities
Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting
Design and implement scalable data models to support analytics, targeting, and measurement use cases
Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data
Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows
Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds
Requirements
BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
The Enterprise Data Platform team is looking for a Principal Data Engineer to help revolutionize how we think about and deliver customer insights, playing an important role in the future success of the company.
Locations (2)
United States
Ontario, Canada
Compensation
$137,800—$172,250 USD
Responsibilities
Architecting large-scale data intelligence solutions, performing architectural assessments, crafting architectural options and analysis around Snowflake Data Warehouse and/or Google BigQuery
Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats, a medallion architecture (bronze → silver → gold), and Trino as the federated query engine
Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc
Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc.
Assistant Vice President, Applications Development Sr Programmer Analyst, Technology
Senior Developer role for Pricing and Correlation within a global application development team responsible for Real Time Pricing applications for Credit trading business, focusing on design, implementation, and architectural/performance improvements.
Locations (3)
Tokyo, Tokyo, Japan
Poland
Canada
Responsibilities
Collaborate with the team to understand functional and operational requirements
Design and implement robust and testable code in support of the requirements
Develop certain non-functional features in the system to improve reliability, scalability and performance
Contribute to the design and implementation of automated test suites
Participate in code reviews helping other team members improve their code
Full Stack Developer contributing to software development initiatives involving frontend and backend application development, cloud-based solutions, databases, APIs, application integration, testing, deployment, and ongoing software maintenance for the Government's software development environment.
Responsibilities
Develop and maintain new applications for LearnAlberta.ca
Maintain and enhance existing applications and related systems
Develop frontend and backend components
Participate in software development activities within an Agile environment
Build reliable, scalable, and maintainable software solutions
Requirements
University degree in Computer Science or a related discipline
Two-year diploma in Computer Science or a related discipline
One-year certificate in Computer Science or a related discipline
Nice to have: Cloud-native application development
Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills
Requirements
Bachelor or Master’s degree in Computer Science, Information Technology or Equivalent
Nice to have: semantic layers (Cube, dbt Semantic Layer)
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