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Build and deploy ML/computer-vision models in Python to analyze manufacturing data, clean and model signals, and collaborate with R&D to improve production quality and efficiency.
Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Build and maintain scalable data pipelines, ETL/ELT solutions, and data warehouses using PySpark, AWS, and modern data platforms to process and analyze large-scale financial data securely.
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms to power enterprise analytics and ETL workflows.
Leads enterprise-wide AI architecture strategy, governance, standards, and adoption roadmap for Smith+Nephew. Works with Generative AI, LLMs, RAG, vector databases, MCP, A2A, and cloud AI platforms like Azure/OpenAI to define enterprise AI standards and integrate with ERP/CRM systems.
Architect and build scalable backend systems for AI-native applications using Java and Python, focusing on RAG and multi-agent collaboration platforms at Adobe’s Experience Platform.
Design and implement enterprise-scale data platforms using Databricks, Azure/AWS/GCP, and Medallion Architecture to power real-time analytics and data products.
Leads a team to modernize Unum’s hybrid cloud/on-prem data platforms (Azure Synapse, Databricks, ADF) and pipelines, driving AI/analytics adoption while setting engineering standards, reducing technical debt, and collaborating with cross-functional teams.
Lead cross-functional programs to streamline AWS revenue data pipelines, transforming billions of daily billing transactions into actionable insights for finance, sales, and analytics teams.
Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world’s best cloud Big Data processing platform and services such as EMR and Athena.…
Design and evolve a scalable Azure-based data and analytics platform for GSK’s German organization, integrating Databricks, SQL, and Power BI to enable self-service analytics and AI-driven insights.
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage solutions.
Designs and governs enterprise-scale data platforms and models (Databricks, Data Vault 2.0, SQL) to power analytics, AI, and regulatory reporting for an insurance-focused fintech company.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business…
Build and maintain ETL pipelines using Python, PySpark, and AWS Glue, orchestrating workflows with Step Functions and Lambda while optimizing Redshift and S3 storage.
Senior Data Engineer Consultant builds and maintains secure, scalable cloud data platforms and pipelines, focusing on data quality, governance, and AI-ready foundations for clients.
Build and maintain data pipelines and ETL processes using Python and AWS services to feed data warehouses and lakes for a global restaurant group.
Senior developer building and extending Microsoft Dynamics 365 Finance & Operations systems using X++, Azure, Power BI, and related tools.
Lead a team of engineers to design, build, and deploy scalable REST APIs and data services for Synchrony’s enterprise data lake, using Java Spring Boot, AWS cloud, and AI-assisted engineering practices.
Senior Business Analyst role bridging finance, data, and technology to design and optimize financial data flows, reporting, and enterprise data architecture for banking clients.
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