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Lead a team of ~10 data platform engineers to build scalable data infrastructure for AI research and production, using Spark, Flink, Airflow, Kafka, and lakehouse formats like Iceberg.
Staff DevOps Engineer owning end-to-end infrastructure for AI systems in heavy industry — designing Kubernetes platforms, IaC, CI/CD pipelines, and observability stacks across cloud and edge/on-prem environments.
Design, build, and operate AWS cloud platforms supporting enterprise data transformations for a consulting firm, using Terraform, serverless AWS services (S3, Redshift, Lambda, Glue), CI/CD pipelines, and Kubernetes.
This role is for a Senior Data Engineer to design, build, and optimize scalable data pipelines and lakehouse architectures on Databricks and Azure. The engineer will integrate data from various enterprise systems to support analytics and AI initiatives in a 3-month contract position.
Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Builds and maintains scalable data models, integrates complex datasets, and resolves discrepancies across enterprise systems using Microsoft tools like Power BI, SQL, and Azure Data Factory.
Directs data governance and analytics architecture for Cotiviti's Health Enablement Analytics org, establishing standards for data quality, modeling, and AI/ML solutions while partnering with cross-functional teams to ensure scalable, governed data and analytics platforms.
Senior Data Scientist designing and implementing advanced analytics, predictive models, and Databricks dashboards to identify revenue leakage and recovery opportunities for the Defense Health Agency's RevOS initiative.
Senior Data Platform Engineer based in Warsaw building and maintaining data platforms using Python, SQL, and Azure Databricks Lakehouse with Spark.
Senior Data Engineer designing and maintaining Databricks-based data pipelines using Python, SQL, and cloud platforms (Azure/AWS/GCP) for an AI/data consultancy's enterprise clients.
Design and build the enterprise knowledge backbone (knowledge graphs, semantic models, vector spaces, RAG architectures) for Intersnack's AI programme while leading data governance, AI TRiSM, and security-by-design frameworks across cloud environments.
Data scientist at Booz Allen Hamilton working with Databricks Lakehouse to analyze structured and unstructured data sets, applying ML and AI techniques to government consulting projects.
Define the architecture for Cordant, an industrial software platform that connects edge devices, cloud, and AI to optimize operations for energy and manufacturing customers.
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and cloud-based data lakehouse architectures using AWS and Azure. This role involves collaborating with cross-functional teams to ensure data quality and support analytics, reporting, and AI-driven initiatives.
The Associate Director of Data Science leads a team in developing and deploying scalable AI solutions, including predictive analytics and Generative AI, within the insurance sector. This role combines strategic leadership, technical guidance, and cross-functional partnership to drive business adoption of AI products.
The Lead Data Engineer will manage and optimize the enterprise Databricks Lakehouse platform, focusing on performance tuning, data governance via Unity Catalog, and implementing AI-native operational workflows. The role involves designing scalable pipelines, mentoring engineering teams, and collaborating with vendors to ensure platform reliability and cost-efficiency.
The Senior Data Engineer will design and maintain scalable data pipelines and Lakehouse solutions using Databricks. The role focuses on performance tuning, cost optimization, data governance via Unity Catalog, and implementing AI-assisted automation for data operations.
Senior Solutions Architect acting as design authority for Kaplan International Pathways' migration to a modern Azure/Microsoft 365 cloud-native estate, governing architecture decisions, enforcing API-first integration patterns, and bridging legacy PHP systems with SaaS/PaaS platforms from the Bangalore office.
Meet the Team Webex Data Analytics Platform (WAP) engineering organization is responsible for developing the big data platform at Webex. The platform forms the base on which other teams, including the WAP team, develop…
Design, develop, administer, and govern enterprise BI solutions using Power BI, SSAS Tabular, SSRS, and SQL against enterprise data warehouses and Azure Data Lakes for a government/defense contractor.
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