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Lead full-stack, multi-agentic AI application engineering at RBC, building secure React/TypeScript front-ends and backend microservices (Node.js/Python/Java) on Kubernetes with CI/CD, deployed in regulated banking environments.
Machine Learning Engineer at Manulife designing, building, and operating ML/AI platforms and pipelines from experimentation to production at scale, using Python, CI/CD tools, Docker/Kubernetes, Terraform, and Azure cloud services.
Software Engineer building migration services and file processing products on VGS's payment tokenization platform using Python, Java, Go, AWS/Kubernetes, Kafka, and Terraform.
Builds and maintains an Azure-based data warehouse using Data Vault principles, develops ETL pipelines, and ensures performance and reliability for a safety-critical organization.
Data Engineer strengthening an Azure Data Vault datawarehouse via pipeline monitoring, parameterization, and unit testing using Azure Data Factory, SQL, and Python in Agile sprints for a Dutch safety region.
The Principal AI Engineer will lead the design and implementation of agentic AI systems and data platforms within a financial services environment. The role involves building RAG solutions, scalable data pipelines, and AI observability frameworks using technologies like Python, Spark, and Databricks.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud-based data solutions for diverse clients. The role involves data integration, migration, and quality assurance using tools like Azure Data Factory and DBT.
Designs and maintains scalable data platforms on Azure and Databricks, focusing on ETL/ELT pipelines, data lakehouse architecture, and cloud-native migrations while ensuring data quality, governance, and DevOps automation.
This Senior Full Stack Engineer role involves building and maintaining scalable enterprise systems for a fintech data collaboration platform using .NET and Angular. The position requires expertise in Azure cloud infrastructure, CI/CD automation, and a strong focus on data privacy and secure coding practices.
DevSecOps engineer maintaining and evolving Ansible scripts for deployment automation, ensuring operational stability in INT/QUA environments, and advising teams on secure deployments, security audits, and performance optimizations.
PRODYNA SE is seeking a Data Engineer to design and implement scalable data platforms and cloud-based solutions for clients. The role involves managing data integration pipelines, ensuring data quality, and supporting cloud transformation projects using technologies like Azure Data Factory, DBT, and various data modeling methodologies.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud-based solutions for diverse clients. The role involves managing data integration, ensuring data quality, and supporting presales activities using technologies like Azure Data Factory, DBT, and cloud infrastructure.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and cloud solutions for diverse clients. The role involves data integration, pipeline development, and consulting on cloud transformations using tools like Azure Data Factory and DBT.
As a Data Engineer at PRODYNA, you will design and implement scalable data platforms and assist clients with cloud migrations and data integration. The role involves working across various industries using technologies like Azure Data Factory, DBT, and cloud-based data modeling frameworks.
Data Engineer at an IT consulting firm, designing and building modern data platforms, ETL/ELT pipelines, and supporting cloud migrations for clients across aviation, banking, and chemicals sectors.
As a Senior Data Engineer, you will design and build modern Snowflake data platforms, develop efficient data pipelines, and consult with clients on cloud-native data architectures. You will work with technologies like Airflow, dbt, and Infrastructure as Code to deliver scalable data solutions.
The AI Solutions Architect will lead the design and implementation of end-to-end AI/ML and RAG systems for banking clients, ensuring compliance with regulatory standards. The role involves defining technical architecture across Microsoft Azure and open-source stacks while mentoring a team and establishing engineering guardrails.
DevOps AI role focused on designing and maintaining cloud infrastructures, CI/CD pipelines, and MLOps environments for AI solution deployment in production, working within an agile team alongside AI developers and data scientists.
The Principal Data Engineer will lead the design and hands-on delivery of a modern cloud-based data platform using Databricks, AWS, and dbt within a financial services transformation programme. This role requires a blend of technical leadership, stakeholder management, and active participation in building scalable data pipelines and Lakehouse architectures.
DevOps Engineer designing and maintaining secure cloud infrastructure, CI/CD pipelines, and shared platform services for UK Government and Defence sector projects using AWS, Azure, and Infrastructure as Code.
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