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Designs and builds real-time, multimodal data pipelines that enrich raw data with ML models to power Apple’s customer-facing services at massive scale.
Lead Data Engineer Location: Leicester, Leicestershire, United Kingdom We are looking for a Lead Data Engineer to join our eCommerce Data team. Based from NEXT Head Office in Enderby, Leicestershire! The Role: As a…
Microsoft Fabric Data Engineer Location: Beirut, Beirut Governorate, lb Company Description The Company: Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that…
Builds and maintains scalable data pipelines and analytics systems for a healthcare platform that integrates with EHRs like Epic and Cerner, using Python, SQL, AWS, and Kubernetes.
Design and build secure, cloud-native data platforms (lakes, warehouses, lakehouses) using Databricks, Snowflake, Azure and AWS, then govern them for analytics, AI, and regulatory compliance.
Build and maintain Power BI dashboards, Azure data pipelines, and cloud analytics solutions using SQL, Python, and Microsoft Fabric to deliver business insights.
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the…
Build and maintain scalable data pipelines, storage, and tooling for real-time and batch workloads using Kafka, Spark, and Snowflake, while automating operations with AI agents.
Designs, codes, and enhances custom software solutions using modern frameworks and agile practices, with a focus on data engineering and scalable systems.
Lead engineering teams that build and scale CrowdStrike’s massive data infrastructure, processing over 3 trillion events daily using Spark, Flink, and related tools to power real-time analytics and AI-driven cybersecurity.
Principal engineer builds and owns a self-service real-time data enrichment platform at a cybersecurity leader, using Spark/Flink to process trillions of daily events and empower customers to proactively hunt threats.
Design and build enterprise-scale data pipelines and cloud architectures on AWS, Databricks, Snowflake, and PySpark, while enabling AI-ready data platforms and leading cross-functional teams.
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our…
Designs, builds, and maintains scalable data pipelines on Azure using Databricks, PySpark, and Python to process and deliver data for business needs.
Senior Data Engineer builds and maintains large-scale data platforms and pipelines for a global bank, using Spark, Kafka, Iceberg, and cloud-native tools to deliver trusted, AI-ready data assets.
Data Engineer builds and runs pipelines to migrate legacy systems into a new target platform using Azure/Fabric tooling, validates data, and supports CI/CD.
Designs and oversees large-scale data platforms and lakehouse architectures for Chevron, focusing on Azure Databricks, PySpark, and cloud data pipelines to support energy sector operations.
Build and maintain a Databricks Lakehouse platform for real-time fraud detection and AI-driven risk insights, integrating data engineering, analytics, and governance in a federal environment.
Lead a team building and maintaining data governance solutions, ETL pipelines, and enterprise data models using Databricks, Snowflake, and AWS for JPMorganChase’s fintech infrastructure.
Senior Data Engineer building and optimizing AWS and Databricks pipelines for JPMorgan Chase, focusing on scalable ETL, Spark/Databricks workflows, and cloud cost governance.
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