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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 own the analytics platform for an AI-powered SaaS product, designing Snowflake data flows, modeling data for reliability, and delivering insights via Power BI while mentoring engineers.
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.
Senior Data Engineer builds cloud-based data platforms on Snowflake and major cloud providers to enable clients’ data-driven decisions using SQL, Python, and DevOps practices.
Design and optimize Snowflake-based data models and semantic layers to power analytics and AI use cases for a global lottery technology provider.
Dla jednego z dużych klientów poszukujemy osoby do roli: Data Integration Engineera! Warunki zaangażowania: Lokalizacja: 100% zdalnie Start: ASAP (akceptujemy kandydatury z max 1msc okresem wypowiedzenia) Stawka…
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 deploy real-time ML models and data pipelines to optimize ad-targeting decisions using Python and SQL in a mobile data platform.
Build and lead cloud-native data pipelines for regulatory reporting in investment banking, migrating legacy systems to AWS and integrating AI-driven workflows using Python, Kafka, and Kubernetes.
Builds and maintains a modern data lakehouse, writing ETL pipelines in Python/SQL to ingest and serve data via APIs for internal teams.
A free 2-month online school teaching data analysis fundamentals using SQL and Python, with practical tasks and feedback for students.
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.
Builds and maintains a cloud-native data platform on AWS, focusing on metadata management and data quality for a media analytics project using Python and SQL.
Designs and optimizes SQL Server and Azure SQL databases, builds data models, and ensures integrity for an AI-powered expense-management platform.
Leads the design and implementation of scalable data pipelines and architecture for a HR-tech platform, integrating enterprise systems, devices, and partner data to enable real-time analytics and AI-driven products.
Builds and maintains scalable Big Data pipelines on Azure Databricks using Spark/Scala/Java, CI/CD, and cloud-native practices for reliable data services.
Build and maintain scalable ELT/ETL pipelines, orchestrate workflows in Airflow, and model data in Snowflake/Databricks to power analytics and AI apps, using Python, SQL, and AI coding tools.
Build and maintain SAP BW/4HANA data models and pipelines, integrate SAP and non-SAP sources, and deliver BI reports for a global IT distributor.
Lead a team of Snowflake Data Engineers to build and scale Aviva’s Financial Data Hub, focusing on automation, security, and CI/CD pipelines for analytical and operational use cases.
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