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The Lead Data Engineer will design and operate scalable data pipelines and products while establishing engineering standards for DataOps, testing, and observability. The role involves partnering with the Data Architect to drive technical quality and mentoring team members within a cloud-based Azure environment.
This role involves building and maintaining cloud-based Generative AI applications using Python or .NET on Microsoft Azure. The developer will own the full lifecycle of these services, including integration with LLMs and RAG architectures, while occasionally contributing to React/Next.js frontends.
The Data Engineer will design and maintain a centralized Azure-based data lake, building ETL/ELT pipelines to integrate EHR and operational data. The role involves complex data migrations, modeling, and ensuring data integrity and compliance within a healthcare environment.
Senior Data Engineer leading the design and implementation of Azure Data Factory pipelines, defining ELT transformation standards, and ensuring data quality on a modern Microsoft Azure data platform.
Deploys and operates secure, open-source data platforms for U.S. Department of Defense missions, integrating with legacy systems and ensuring compliance with strict security requirements.
Platform Engineer maintaining and evolving PMI's global data platform—data catalog, quality, lineage, observability—using AWS, Snowflake/Databricks, dbt, Python, Terraform, and CI/CD tooling.
The Data Solutions Engineer will design and manage data solutions within Databricks and Microsoft Fabric environments on Azure. The role involves developing data workflows using Python and PySpark while ensuring code quality through rigorous testing.
The Data Engineer will design, develop, and optimize scalable data pipelines and ETL/ELT workflows using PySpark, Python, and Azure Data Factory. This role requires 6-10 years of experience and involves working in a hybrid environment in Kraków.
The Full Stack Engineer will build and maintain features for a flexible staffing platform using a modern TypeScript stack (Nest.js, Next.js, React Native) in an AI-first development environment. The role requires a hybrid presence in Warsaw and involves close collaboration with product teams to deliver production-ready code.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, with occasional frontend work in React and Next.js.
Middle Full Stack Developer (Generative AI) Usted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura. Location: Spain (100% Remote) Type:…
Мы создаём финтех-продукты для рынков, где формируется будущее финансовых технологий. Работаем на международных проектах, совмещая скорость стартапов с надёжностью enterprise-разработки. У нас прозрачные процессы,…
The Analytics Engineer will identify data improvement areas, build and maintain analytics solutions, and deliver on functional backlogs using SQL, ETL tools, and programming languages like Python or Java. The role requires 4-7 years of experience in data analytics and familiarity with agile methodologies.
Vårt team skapar datadrivna effektiva verksamheter - Visst vill du vara med? Vill du arbeta med att bygga dataplattformar och dataflöden i uppdrag som spänner över viktiga samhällsfunktioner, och samtidigt utvecklas i…
Design and build scalable cloud data platforms and ETL/ELT pipelines in Python, orchestrated with Airflow/Dagster, running on AWS/Azure/GCP to power analytics and AI-driven solutions for Fortune-500 clients.
Role Profile Job Title: Data Engineering & Insights Manager (Hybrid Working Policy) 2 days a month. Reports To: Chief Innovation Officer Role Purpose The Data Engineering & Insights Manager is responsible for leading…
Analytics Engineer transforming enterprise data into trusted, analytics-ready datasets using Azure Databricks, Python, and PySpark to support reporting, BI, and AI initiatives at a law firm.
This Senior/Lead Data Engineer role involves designing and building end-to-end data ingestion and transformation pipelines using the Azure data platform stack. The position requires extensive experience with big data solutions, ETL processes, and advanced SQL programming in an agile environment.
The Senior Data Engineer will design and maintain production-ready data pipelines and models using Snowflake and Azure to support performance management platforms. The role involves end-to-end data engineering, including integration, governance, and CI/CD implementation within a healthcare context.
Design, build, and optimize cloud-native data pipelines and analytics-ready datasets on Azure Databricks for enterprise clients in healthcare and other industries.
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