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Build and maintain scalable data pipelines and models for mobile game analytics, using Python, SQL, and cloud warehouses like Snowflake to power monetization and A/B testing insights.
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, designing ETL pipelines, data models, and governance to power analytics and AI across team.blue’s ecommerce platform.
Build and maintain scalable data pipelines and warehouses in Azure for ING Spain, ensuring regulatory compliance and high-quality reporting for banking and finance.
Builds and scales industrial data pipelines in Azure/Databricks, integrating sensor data with ML models to improve energy efficiency and logistics in a European industrial company.
Build and maintain data pipelines, dashboards, and warehouse models to turn business questions into trusted insights using SQL, Python, and cloud warehouses like BigQuery.
Design and build cloud-native data pipelines on GCP to power analytics and AI, ensuring scalable, governed, and secure data platforms for enterprise use.
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
Build and maintain ETL pipelines and data integrations using Databricks, SQL Server, SSIS and Power BI, and deliver advanced analytics solutions for internal stakeholders.
Designs and builds scalable data pipelines and self-serve infrastructure under a Data Mesh model, collaborating with domain teams to define data contracts and ownership.
Build and deploy data pipelines, ETL workflows, and cloud data warehouses for enterprise clients using SQL, AWS/GCP/Azure, and visualization tools.
Build and maintain cloud data pipelines on AWS, integrate corporate data sources (SAP, Salesforce), and collaborate with data science teams to deliver scalable, high-quality data solutions for enterprise clients.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
Data Engineer builds and maintains data integration pipelines using Denodo, creating virtualized views and ensuring data quality for clients in a remote, 4-month contract role.
Build and maintain scalable data pipelines to turn AI/ML model outputs into reliable, high-quality data products for retail applications using Python, SQL, Spark, and cloud platforms.
Design and build cloud-native data pipelines on Azure and Databricks, modernizing legacy data models into scalable analytics structures.
Build and maintain ING’s data platforms, designing ETL pipelines and data models in Azure to support regulatory and analytical reporting in a DevOps environment.
Senior Data Engineer builds and maintains scalable data pipelines, working with analytics and data-science teams using Python and SQL in a modern data stack.
Lead the design and scaling of Euroinnova’s BigQuery data warehouse and ETL pipelines, integrating multiple data sources for their edtech platform.
Build and maintain scalable data pipelines and AI-driven features for a hospitality analytics platform, using Python, BigQuery, and GCP to power insights and machine learning.
Build and maintain Google Cloud-based media data pipelines, ETL processes, and dashboards to track billions of ad impressions and drive ad-tech performance insights.
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