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Designs and maintains scalable data pipelines and platforms on AWS, using SQL, Python, and Databricks to support analytics, reporting, and ML workflows for clients.
Designs and maintains Azure infrastructure and data platforms for analytics, AI/ML, and production workloads, focusing on cloud-native security, networking, and scalable data pipelines.
Designs and maintains Azure infrastructure and data platforms for analytics, AI, and mission-critical workloads, focusing on cloud-native security, scalability, and performance.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Lead a team to build end-to-end analytics solutions using Microsoft Fabric and Power BI, from data ingestion to user-facing reports and governance.
Designs and implements automated data quality frameworks for enterprise lakehouse platforms, ensuring data meets quality standards through validation, monitoring, and incident management.
Build and maintain CI/CD pipelines, infrastructure automation, and Kubernetes-based data platform operations for a large-scale enterprise data lakehouse.
Leads enterprise data lakehouse security, enforcing cybersecurity, data privacy, and compliance (GDPR, HIPAA, SOC 2) while defining access controls, risk assessments, and incident response.
Designs, builds, and maintains scalable data platforms and production-grade data systems, owning end-to-end pipelines and architectures for operational, analytical, and AI-driven use cases.
Lead Data Platform Architect responsible for defining and evolving Alleima's Common Data Platform on Microsoft Fabric, covering end-to-end architecture from data ingestion to analytics across Finance, Supply Chain, Production, Quality, and Sustainability domains.
Principal ML Engineer builds and governs scalable, explainable matching models on AWS SageMaker, setting MLOps standards and ensuring regulatory-grade compliance for a global fintech platform.
Data Engineer owning and developing a Microsoft Fabric-based data platform, building pipelines from MongoDB and APIs, and delivering Power BI reporting in a hybrid London role.
This Data Engineer role involves building and scaling ETL/ELT pipelines within a greenfield data transformation project using Microsoft Fabric and Databricks. The position requires expertise in PySpark and SQL to develop modern data solutions and support enterprise-wide analytics.
Leads technical development of a DoD data platform for DISA’s DISN network, designing data lakes/lakehouses, pipelines, and AI-driven observability tools to enable predictive analytics, automation, and mission resilience.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1…
The Senior Data Engineer will design, build, and maintain enterprise data pipelines for the Air National Guard using Azure Databricks, Python, and SQL. This role involves managing ETL/ELT processes, ensuring data quality, and supporting mission-critical data ecosystems within a secure government environment.
The BI Solutions Consultant implements and configures data analytics solutions for clients using the Microsoft BI stack, T-SQL, and cloud platforms like Databricks and Microsoft Fabric. The role involves building data pipelines, creating Power BI dashboards, and managing client implementations.
Lead large-scale data engineering and analytics program delivery across strategic accounts, overseeing end-to-end execution, architecture decisions across Azure/AWS/GCP/Snowflake/Databricks/Microsoft Fabric, and building high-performing onshore/offshore data engineering teams.
The Power BI Developer will design, develop, and maintain business intelligence solutions, including semantic models, dashboards, and paginated reports, to support client analytics and digital transformation initiatives. The role involves working with SQL, DAX, and various ETL tools to transform complex data into actionable insights.
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