Data engineering fundamentals jobs Skill: data engineering fundamentals Data Engineer
Capgemini · Hove, United Kingdom
Founding Platform Engineer
Weekday AI · Gurugram, India+2 more On-site · Full-time · Senior
Vice President - Early Detection Informatics
Caris Life Sciences · Tempe, US+1 more On-site · Full-time · Executive
Senior Azure Cloud Platform Engineer – Power BI & Informatica
Recrute Action · Toronto, Canada· Hybrid · Contract · Senior
+10K new in the last hour
Capgemini · Posted Nov 2, 2026
Design and implement robust, secure and performant data integration solutions, build and improve data pipelines, collaborate with product teams and client stakeholders, support incident resolution, share knowledge, mentor colleagues, and participate in Agile ceremonies.
Design and implement robust, secure and performant data integration solutions (batch and/or near-real-time). Build, operate and improve data pipelines (ingestion, transformation, curation) with monitoring, alerting and SLAs. Collaborate with product teams and client stakeholders to refine requirements and align decisions to NFRs (cost, performance, security). Support incident resolution and ensure service continuity. Share knowledge, mentor colleagues, and contribute to Capgemini’s engineering communities of practice.
Weekday AI · Posted Nov 11, 2026
Founding Platform Engineer responsible for designing, building, and operating scalable cloud and ML infrastructure for large‑scale AI applications.
Gurugram, Haryana, India Noida, Uttar Pradesh, India Delhi, Delhi, India Architect, build, and operate scalable, secure, highly available cloud infrastructure on AWS Design and manage containerised workloads using Kubernetes, Amazon ECS, and Docker Implement Infrastructure as Code with Terraform, AWS CDK or equivalent Build and maintain CI/CD pipelines and automated deployment workflows Optimize cloud infrastructure for performance, scalability, availability, and cost Caris Life Sciences · Posted Oct 27, 2026
Senior leadership for Caris’ early cancer detection data science and bioinformatics initiatives
Tempe, Arizona, United States Phoenix, Arizona, United States Provide executive oversight for design, implementation, reliability, and scalability of bioinformatics and data engineering pipelines Oversee development, orchestration, and production deployment of bioinformatics workflows Establish and enforce canonical data models, metric definitions, dataset versioning, and change control Ensure data integrity, auditability, traceability, and compliance with GxP and regulatory expectations Define and implement cloud‑based or hybrid compute strategies PhD in Data Science, Bioinformatics, Biostatistics, Computer Science, Biomedical Engineering, or a related field Nice to have: DRAGEN workflows Recrute Action · Posted Nov 5, 2026
Senior Azure Cloud Platform Engineer focused on Power BI, Informatica, and cloud infrastructure design and maintenance within the insurance sector.
Salaried: $49-54 per hour. Incorporated Business Rate: $58-63 per hour.
Design, deploy, and maintain Azure cloud infrastructure and data platform services. Build and manage CI/CD pipelines using GitHub Actions and Jenkins. Develop and maintain infrastructure as code using Terraform. Support and optimize Power BI platform environments. Collaborate with data engineering teams on scalable and cost-effective architectures. Nice to have: AZ-104 certification Nice to have: AZ-305 certification Nice to have: DP-203 certification Nice to have: Azure Monitor Nice to have: Log Analytics
Nice to have: GPU infrastructure management
Nice to have: LLM inference
Nice to have: Speech models
Nice to have: Real‑time voice AI
Nice to have: Model‑serving technologies such as vLLM, NVIDIA Triton
Nice to have: AWS platforms
Nice to have: SageMaker
Nice to have: S3
Data EngineerNewCapgemini · Hove, United Kingdom