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The Product Lead for Workday Analytics & Security manages the reporting roadmap, security governance, and analytics strategy within the Workday HCM platform. This role acts as a subject matter expert to deliver scalable reporting solutions and actionable workforce insights for the organization.
As a Junior Software Engineer at Yapily, you will help build and scale a data platform by developing data pipelines, billing infrastructure, and APIs using the GCP stack. This role is ideal for a developer with a strong computer science foundation looking to specialize in data engineering within the fintech sector.
Manager role designing and delivering internal audit services for clients, focusing on risk, controls, and compliance using AI-driven tools and methodologies.
Designs and governs a secure AWS data lake and integration architecture for a UK defence programme, ensuring compliance across multiple security classifications.
Wells Fargo is seeking a Lead Software Engineer to design and implement enterprise-scale data engineering and ETL solutions on Google Cloud Platform. The role involves leading technical initiatives, mentoring engineering teams, and ensuring data quality and governance across large-scale cloud-native data pipelines.
The VP of Data Engineering will design and implement scalable data platforms and microservices using Java, Python, Apache Spark, and Kafka. The role involves building cloud-native solutions on Kubernetes and integrating Generative AI capabilities into enterprise banking applications.
Lead data engineering for real-world data initiatives, designing and operating a lakehouse (medallion architecture) on Azure Databricks with SQL and Python to deliver standardized data products across clinical, safety, and corporate domains at a large CRO.
The Director of Data Engineering will lead global teams to design and implement enterprise-grade data lakehouse architectures using Azure Databricks and medallion principles. This role focuses on delivering high-quality, governed data products to support clinical and operational analytics within a life sciences environment.
Senior Machine Learning Engineer on the Applied Science Data Frameworks team building foundational infrastructure for large-scale multimodal AI training and inference, working with distributed systems, data engineering fundamentals, and ML infrastructure using technologies like PyTorch, Apache Ray, Spark, and Docker.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Line of Service Assurance Industry/Sector Banking and Capital Markets Specialism Assurance Management Level Manager Job Description & Summary At PwC, our people in audit and assurance focus on providing independent…
Technical Product Owner leading the strategy, roadmap, and delivery of digital products supporting toxicology workflows at J&J, combining scientific domain expertise with hands-on technical skills in Python/R, SQL, REST APIs, cloud, and ML frameworks.
UX Research Lead directing end-to-end mixed-methods research programs across Citi's digital portfolio while transforming the practice by embedding AI-assisted tools and proactive insight generation into the product development lifecycle.
Expert Data Engineer designing Power BI dashboards, data models, and ETL pipelines on Azure (Synapse, ADLS, Data Factory) for a cross-functional team at an outsourcing company.
Technical Product Owner owning the roadmap and delivery of digital products supporting toxicology workflows at J&J, integrating LIMS/ELN systems and using Python/R, SQL, REST APIs, containerization, CI/CD, and cloud platforms.
Lead data engineering for LillyDirect, a direct-to-patient pharmacy platform, building HIPAA-compliant data pipelines, consent governance, and semantic layers using SQL, Python, Databricks, and cloud DW tools in a regulated pharma environment.
Build and maintain Azure-based BI solutions—data models, pipelines, and Power BI reports—using Azure Data Factory, Synapse, Databricks, and Azure SQL to drive operational analytics at Bacardi.
Design and build cloud-native data platforms and pipelines to power Mastercard’s AI and Generative AI solutions, including feature stores, vector databases, and MLOps workflows.
The Embedded Systems Architect will design and integrate hardware and software for autonomous mobile robots and drones, focusing on sensor integration, edge computing, and perception systems. This role involves translating product requirements into scalable, production-ready embedded architectures while collaborating across cross-functional engineering teams.
The Embedded Engineering Manager will lead teams developing hardware and software for autonomous mobile robots and drones, focusing on embedded systems, perception, and system integration. This role involves defining technical roadmaps, managing engineering talent, and ensuring the delivery of scalable, production-ready robotics solutions.
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