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Designs and builds scalable data lake architecture on Azure/Databricks, including layered data models, ingestion pipelines, and transformations using Python/PySpark for financial services data processing.
The U.S. Pharmacopeial Convention (USP) USP is an independent scientific organization that collaborates with the world's top experts in health and science to develop quality standards for medicines, dietary…
Design, deploy, and manage containerized data pipelines and data lake/lakehouse architectures using SQL Server, Python, Kubernetes, Apache Airflow, and Spark.
ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно…
Senior Data Engineer owning data pipelines, warehouses and dashboards in an Azure Databricks/Delta Lake/Power BI stack for a New Zealand children's health nonprofit.
Predictive Maintenance Engineer at Hitachi Rail in London, developing prognostic algorithms and CBM systems to improve train reliability and minimise downtime using Python, Pyspark, SQL, PowerBI and data science techniques.
Senior Data & AI / MLOps Engineer responsible for industrializing and deploying ML models, LLMs/AI agents, and data pipelines into production within the financial sector, using Python, PySpark, AWS, Docker, Kubernetes, and MLflow.
Senior Data Engineer building high-performance data products bridging SAP BW and Palantir Foundry at Airbus Helicopters' Digital Campus, using ABAP, PySpark, and SQL in an Agile Release Train.
Senior Data Engineer focused on LLM & RAG architectures for a major telecom group, designing scalable data pipelines, optimizing vector databases and RAG solutions, and building AI services with FastAPI using Python, SQL, Spark/PySpark on Azure/Databricks.
Develop and maintain advanced data pipelines and infrastructure on Microsoft Azure and Databricks, building ETL processes and data vaults for Allianz Germany's financial application suite while migrating from legacy SAS/Oracle systems.
Data Engineer building and optimizing large-scale data pipelines using Scala/Python/PySpark on Spark and Databricks, designing Data Lakehouse architectures primarily on Azure Cloud for a consulting firm serving diverse sectors.
Lead Data Engineer designing and overseeing end-to-end data pipelines (ingestion, transformation, loading) on the SimpliFi Data Pool—an Azure-hosted repository using Data Vault 2.0, Databricks, Azure Synapse, Informatica IDMC, and PowerBI—while mentoring engineers and enforcing data governance.
Builds and maintains Big Data pipelines using PySpark/Python in cloud environments (Azure/AWS), troubleshooting issues and deploying updates to production.
Builds and maintains PySpark/Python-based ETL pipelines and Big Data workflows in cloud environments, troubleshooting issues and deploying updates to production.
Data Engineer focused on Palantir Foundry/AIP, building robust data pipelines with Python and PySpark, designing ontologies, and orchestrating solutions on AWS/Azure.
Builds and maintains cloud-based data platforms on Azure, focusing on data ingestion, processing pipelines, and real-time analytics to support client transformation projects.
Design and build data pipelines using PySpark, Python, SQL, and AWS, with Airflow for orchestration and Docker/ECS as needed, as part of a 12-month contract in Madrid.
Senior Data Engineer at PepsiCo building global data products and pipelines using cloud platforms (AWS, Azure, Snowflake), big data tools (Hadoop, PySpark), and orchestration (Airflow, DBT) to power digital commerce capabilities for the food & beverage giant.
Data Engineer designing and implementing Medallion architecture in Microsoft Fabric, building robust data pipelines (Bronze/Silver/Gold), and modeling data for BI/analytics for a logistics-sector client.
Data Engineer building robust, scalable data pipelines in AWS or Azure using PySpark and Python, with hybrid work in Madrid at a tech boutique consultancy.
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