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Build high-performance data pipelines and backend services for a major Polish media platform, using Python, Java, and big-data tools like Kafka, Spark, and Flink to process and analyze real-time data streams.
PX is seeking an Integration Analyst to connect our platform with client systems worldwide. You will work hands-on with REST APIs, webhooks, JSON, and Python or JavaScript scripts to ensure data flows are accurate,…
DSV Road GmbH in Warszawa is seeking a skilled professional to develop and optimize data transformation pipelines. You will work with mapping tools to convert data, test code against requirements, and establish…
Designs ETL/ELT pipelines and migrates data warehouses to Microsoft Fabric, integrating Informatica and Azure analytics tools for clients.
Builds and maintains Azure-based data pipelines and analytics solutions using Databricks, SQL, and PowerBI to enhance Heineken’s data-driven decision-making.
Build and deploy AI-driven travel optimization systems using ML, GenAI, and MLOps on GCP for Sabre’s global travel marketplace, from pricing to airport operations.
Senior Data Platform Engineer builds and scales the shared data infrastructure that powers ApartmentIQ’s three proptech products, focusing on coverage, freshness, and deeper insights for the multifamily industry.
Build and maintain data pipelines and a BigQuery-based data warehouse for a global ride-hailing platform, reconciling financial data from multiple providers.
Build scalable data pipelines and reporting systems that power consumer credit data at Affirm, collaborating with cross-functional teams to deliver reliable, data-driven solutions.
Builds and optimizes SQL-based data pipelines on Google Cloud Platform, focusing on BigQuery transformations and cost-efficient data processing for analytics.
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 for a predictive maintenance system using Databricks, Spark, Python, and Azure services.
Build and maintain the data infrastructure (Data Lakehouse) that powers AI-driven dental products, collaborating with ML researchers and MLOps engineers.
Build and scale data infrastructure for AI/ML pipelines in dentistry, including ingestion, annotation, dataset versioning, and training workflows on AWS.
Builds and deploys industrial data pipelines and MLOps workflows to run AI models in cloud and edge environments for metals, energy and infrastructure clients.
Designs and optimizes data validation pipelines for high-volume clickstream data to ensure quality before it feeds core AI systems.
Senior Data Engineer builds and optimizes SQL Server BI pipelines (T-SQL, SSIS) to move automotive data into analytics-ready structures and cloud services.
Senior engineer designs and implements GCP-based data governance, metadata catalogs, and data quality processes for a Telco client migrating analytics to the cloud.
Builds and maintains GenAI data pipelines, microservices, and retrieval systems using Python, FastAPI, and cloud tools like GCP and Azure.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
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