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Who are we? Planck, now a part of Applied Systems Inc., is revolutionizing the insurance market with its advanced use of Generative AI (GenAI). Our state-of-the-art platform turns unstructured data into real-time,…
We are currently seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for…
Senior Data Platform Engineer responsible for managing and evolving PMI's data infrastructure—data catalog, quality, lineage, and observability components—on AWS using tools like Snowflake, Databricks, dbt, Terraform, and CI/CD pipelines.
The Data Engineer will develop scalable cloud data platforms, build data pipelines, migrate data to the cloud, and manage Data Lake/Lakehouse environments. The role requires expertise in Python, SQL, Spark, and cloud-based data technologies.
The Data Engineer will design and build scalable, cloud-native data platforms and ingestion pipelines using Python, Spark, and cloud technologies. The role involves optimizing data infrastructure, implementing CI/CD practices, and collaborating with ML teams to support AI-ready data workflows.
The Cloud Data Engineer will design and maintain scalable data processing platforms and ETL/ELT pipelines using Azure Databricks. The role involves collaborating with cross-functional teams to model data for analytics and mentoring junior staff.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. The role focuses on processing large-scale data within enterprise environments and collaborating with cross-functional teams to ensure data quality and performance.
The Cloud Data Engineer will design, build, and optimize scalable data processing platforms and data lakes using Azure cloud technologies. The role involves collaborating with analytics teams to manage large-volume data projects.
This Data Engineer role focuses on designing and maintaining ETL/ELT pipelines using Snowflake to integrate and automate data processes. The position is a 6-month remote contract requiring expertise in SQL, data quality validation, and reporting tools.
The AI Data Engineer will design and manage data lakes and AI platforms, building scalable pipelines and deploying GenAI solutions using RAG architectures. The role focuses on cloud-native technologies to enhance organizational data infrastructure and business productivity.
Design, build, and maintain scalable data pipelines and cloud-based data platforms on AWS using Python, collaborating with analysts and scientists to support analytics and BI initiatives.
At Great Yellow we’re looking for a Senior Data Platform Engineer to join our team. About Great Yellow Great Yellow is building the operating system for a regenerative economy. Our mission is to make regenerative…
Senior Data Solutions Engineer providing data consultancy to clients—designing cloud data platforms on Azure/AWS, leading architecture and delivery across the data lifecycle, and mentoring project teams.
The Senior Data Engineer will design and deploy data features for a financial services client, focusing on migrating ETL processes from Azure Data Factory to Microsoft Fabric. The role involves enhancing ingestion frameworks and managing data quality across environments using CI/CD practices.
Lead the build-out of a modern Snowflake-based data lake for a reinsurance analytics platform, focusing on ingestion, governance, quality, and cost-efficient scaling while mentoring engineers and directing delivery partners.
The Data Platform Engineer will design, build, and maintain scalable data infrastructure for a banking client, focusing on real-time streaming and cloud services. The role requires expertise in Kafka, Amazon MSK, Kinesis, Kubernetes, and Terraform to ensure platform reliability and performance.
Senior Data Engineer on a banking client's Data Strategy, migrating ETL from Azure Data Factory/ADLS to Microsoft Fabric, building and testing data pipelines in Agile sprints.
Design and support secure, automated Microsoft Azure platforms, owning CI/CD pipelines, Infrastructure as Code, and cloud operations using Azure DevOps, Terraform, and Kubernetes on-site in London.
Senior Data Engineer leading data engineering initiatives including data lakes, platform modernization, and reporting solutions, utilizing Azure Cloud, Databricks, and AliCloud big data tools.
Develop AI-powered features and automated workflows for a media company, designing CMS, Data Lake, and Data Catalog on AWS infrastructure.
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