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Senior Data Scientist building ML and predictive analytics models for capital markets use cases—trading, risk, fraud detection, regulatory reporting—using Python, PySpark, and Azure Databricks in a hybrid Toronto role.
Staff Data Scientist/Engineer builds and deploys AI/ML systems for UKG’s workforce management platform, focusing on large-scale workforce data analysis, generative AI, and agent-based workflows to drive measurable business impact.
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $187,500 - $261,000 CADThe pay details posted reflect a temporary market premium…
Job Title: Data Engineer –85052 Job ID: 89428 Location: Montreal, Quebec What you will be doing: Design, program, and implement software applications to meet specific user needs. Ensure data quality, reliability, and…
Build and maintain data pipelines and manage the lifecycle of data and AI models on the Chief Protection Officer's team, using Python, PySpark, SQL, and cloud platforms to support business intelligence and advanced analytics.
The BI Analyst will manage data reporting, ETL processes, and complex data modeling while investigating data discrepancies and collaborating with business stakeholders. The role focuses on technical problem-solving using Power BI, Microsoft Fabric, SQL, and Python.
The Data Engineer will build and maintain data pipelines using Python, PySpark, and AWS services in a 12-month contract role based in Madrid. The position requires proficiency in both Spanish and English.
The Data Engineer will develop and maintain CoreGo's Databricks-based data platform, building pipelines and data models to support analytics and machine learning for event payment and access systems. The role involves managing data infrastructure, ensuring data quality, and collaborating with product teams to integrate data outputs into business processes.
The Senior Full Stack Developer will lead the design and development of scalable web applications using a broad stack including React, Next.js, Spring Boot, and Node.js. The role involves architecting solutions, managing database performance, and mentoring team members within a large-scale consulting environment.
The Full-Stack Data & AI Engineer develops and maintains end-to-end data, analytics, and AI solutions using technologies like PySpark and BigQuery. The role involves working in agile teams to translate business requirements into data-driven applications while managing the full lifecycle of systems.
Dein Fundament: Ein erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, Physik, Mathematik oder eine vergleichbare Qualifikation mit relevanter Berufserfahrung. Tech-Stack & Erfahrung: Einschlägige…
The Data Mapping & ML Engineer will design and implement data mapping, ML-driven matching, and semantic models to enhance data transformations. The role involves building scalable pipelines using Databricks, PySpark, SQL, and Python while ensuring data governance and architectural alignment.
The Data Engineer will develop scalable cloud data platforms, build data pipelines, migrate data to the cloud, and manage Data Lake/Lakehouse environments. The role requires expertise in Python, SQL, Spark, and cloud-based data technologies.
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
Hirexa Solutions is looking for a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines using PySpark, Python, and Azure Data Factory. The role involves collaborating with cross-functional teams to ensure high-quality data processing in a cloud environment.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. The role focuses on processing large-scale data within enterprise environments and collaborating with cross-functional teams to ensure data quality and performance.
The Cloud Data Engineer will design, build, and optimize scalable data processing platforms and data lakes using Azure cloud technologies. The role involves collaborating with analytics teams to manage large-volume data projects.
Senior Data Engineer at Publicis Groupe designing and building enterprise-scale cloud data platforms—lakehouse architectures, ingestion pipelines, governance, and AI/LLM-enabled data services—using Python, SQL, Spark, and AWS or Azure.
The Senior Data Engineer will design and build enterprise-scale, cloud-native data platforms while integrating AI and LLM-based solutions. The role involves a mix of hands-on engineering, technical architecture design, and leadership across data ingestion, lakehouse architectures, and governance.
Lead Analytics Engineer at a NZ consultancy delivering Microsoft Fabric-based analytics solutions—semantic models, Power BI reports, and data pipelines—for enterprise clients through discovery workshops, data modelling, and team mentorship.
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