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Design and build AI and data solutions for financial clients using cloud tech like Azure OpenAI, Databricks, and Microsoft Fabric, including LLMs and advanced analytics pipelines.
Build and optimize a scalable, ML-ready data platform on Azure Databricks, migrating legacy jobs and ETL pipelines with PySpark, Delta tables, and Terraform.
Builds and maintains Arla’s Azure-based data platform using Databricks, PySpark, SQL, and Terraform to power analytics and decision-making across the company.
Kingfisher plc poszukuje Senior Quality Engineer (Data) do zespołu Data Engineering. Rola obejmuje zapewnienie jakości, niezawodności i integralności danych, wspierając decyzje biznesowe poprzez wysokiej jakości dane.…
Build and maintain Arla’s enterprise-grade data platform using Azure Databricks, PySpark, and Terraform to power data-driven decisions across the global dairy supply chain.
Build and maintain Arla’s enterprise-grade data platform using Azure Databricks, PySpark, and IaC; design pipelines, automate CI/CD, and ensure observability and security across the stack.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Design and build a modern data platform on Databricks and Azure, implementing scalable ETL/ELT pipelines and integrating data from multiple sources.
Builds and maintains scalable data pipelines on Databricks and Azure, using PySpark and Delta Tables to move and transform data for analytics and AI workflows.
Build and maintain cloud-based data pipelines and AI/ML infrastructure in Microsoft Azure to enable advanced analytics and data-driven decision-making across Arla Foods Ingredients Analytics.
Senior Data Engineer builds and maintains modern data platforms and AI pipelines using Databricks and PySpark for European clients.
Builds and optimizes data models in PySpark/SQL to support scalable analytics and dashboards, collaborating with business stakeholders and engineers to turn marketing, sales and logistics data into actionable insights.
Build and scale data pipelines in AWS/Databricks to power personalized marketing and AI-driven customer segmentation for a global meal-kit and food retailer.
Build and deploy AI/ML models to optimize airline retailing, pricing, and customer experience using Python, TensorFlow, and GCP services.
Lead Data Engineer designs and migrates data pipelines using GCP and PySpark, guiding a remote team and ensuring robust data infrastructure.
Designs and builds scalable data pipelines using PySpark, Hadoop, and Airflow in a DevOps environment to support analytics and reporting.
Builds and monitors a Microsoft-Fabric-based data warehouse, writes PySpark and T-SQL ETL/ELT pipelines, and collaborates with Power BI teams to deliver business-facing analytics.
Lead a data engineering team to build and migrate media-industry data platforms on GCP using PySpark, while removing technical blockers and guiding architectural decisions.
Design and build scalable data pipelines on GCP (BigQuery, Cloud Composer) to feed AI/ML models, using Python, SQL, dbt and Data Vault 2.0.
Build and maintain scalable data pipelines on GCP for AI initiatives, using Python, SQL, dbt, and BigQuery to enable large-scale analytics and ML workloads.
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