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Data Engineer II building and operating scalable ETL pipelines and data infrastructure for Amazon's FBA Central Analytics, using Spark/PySpark, dbt, Airflow, and SQL on AWS.
Чем ты будешь заниматься работать с кластером k8s: создавать новые и поддерживать существующие ML конвейеры создавать и развивать Gitlab CI/CD процессы для ML-проектов и инфраструктуры разрабатывать ML конвейеры на…
Exciting Opportunity for an Experienced Principal AI Data Engineer to help build and scale GenAI and agentic AI solutions as part of a new project for a Leading Energy Company. Responsibilities: Build and evaluate…
Leads Databricks-based data platforms and Agentic AI solutions for insurance processes like claims and underwriting, optimizing Spark architectures, FinOps, and regulatory-compliant data governance.
Overview Microsoft Digital (MSD) builds and manages the critical products and services that Microsoft runs on. We boldly pursue big ideas that power transformational advances at Microsoft and for our customers, while…
We're searching for a Senior Data Engineer, Data Platform & Operations. Are you searching for new possibilities? Westland Insurance Group Ltd. is growing and has a new opportunity for a Senior Data Engineer,…
Responsibilities and Requirements Manage and Optimise existing data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon…
Senior Full Stack Engineer designing and delivering scalable data pipelines, ETL/ELT systems, and cloud-native data platforms, with exposure to AI/RAG features at an IT consulting firm in Singapore.
Designs and builds scalable data pipelines and platform services for a quantitative investment firm, using Python and cloud technologies like AWS.
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using PySpark and Azure Data Factory to power analytics, AI, and real-time decision-making across enterprise systems.
Lead data engineering for a consultancy, designing Azure/Databricks pipelines and lakehouse architectures, mentoring teams, and owning pre-sales technical responses while delivering Power BI solutions.
Designs, deploys, and operates scalable ML pipelines on Azure and Databricks, focusing on cost-efficient, maintainable, and secure AI solutions for an edtech organization.
Designs and leads AI/ML solutions for an energy client using Microsoft AI Foundry, Azure AI, and Databricks, translating business needs into scalable, secure architectures and guiding implementation from data to deployment.
RevTech is hiring a Python Data Engineer to work on a global financial services project in Poland. The role involves building streaming and batch data pipelines using Python, Spark, Databricks, and Azure in an onsite capacity.
The Python Data Engineer will design and build data pipelines for a financial services project using Python, Spark, Databricks, and Azure. This is a contract role requiring onsite presence in Poland.
Builds and deploys GenAI and agentic AI systems for pharma clients, integrating RAG pipelines, multi-agent frameworks, and medallion data architectures across Microsoft, OpenAI, and AWS ecosystems.
Leads Python-based software engineering for JPMorgan’s Credit Data Pond team, designing scalable cloud data platforms (AWS/Databricks/Terraform) to enhance credit risk technology. Focuses on AI-assisted development, secure CI/CD pipelines, and operational stability in fintech.
Lead a Databricks-based data platform team, designing scalable cloud architectures, mentoring engineers, and driving AI/data strategy with Spark, Delta Lake, and Python.
Build and maintain scalable Databricks pipelines and Lakehouse architectures using Spark, Delta Lake, and Python to deliver high-performance data products for a fast-growing tech business.
Lead the design and delivery of GM Financial’s cloud data analytics platform, building scalable Azure/Databricks pipelines, APIs, and AI-ready data layers to power analytics, ML, and reporting across global markets.
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