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Builds and maintains data connectors and pipelines for brand, adtech, and marketing data using SQL, Python/Scala, and platforms like Databricks or Snowflake.
Build and maintain data pipelines that feed VML’s Open Intelligence platform, focusing on adtech/martech data connectors, SQL-based pre-aggregation, and cloud-native tooling.
Build and maintain the AI-powered regulatory data pipeline that crawls, parses, and normalizes global compliance rules for physical products, ensuring every customer’s product launch is backed by provably current data.
Build and maintain scalable data pipelines on Databricks using SQL, Python, and PySpark, focusing on ingestion, transformation, governance, and delivery with Unity Catalog.
Build and run modern data pipelines and platforms using open-source tools, focusing on processing, orchestration, and deployment with AI insights and CI/CD.
Build and maintain open-source data platforms and pipelines in a collaborative team using modern data and platform engineering tools.
Build and maintain high-scale data pipelines and edge services for WPP’s AdTech platform, handling tens of thousands of requests per second using Python/Go/Scala, Spark, and Kubernetes.
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Build and maintain data warehouses and PowerBI reports for debt-data systems, modeling large datasets and enabling data-driven governance.
Lead the migration to Databricks and design high-performance data pipelines using Python and PySpark to enable a data-driven culture.
Build and maintain scalable data pipelines and backend systems using Python, SQL, and BigQuery to onboard large-data customers in a fast-moving Danish startup.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
Lead a team to build and scale a Microsoft Fabric-based data platform, designing pipelines, models, and integrations to support DCC Energi’s green-energy transition and business insights.
Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Build and advise on Microsoft Fabric-based data platforms and AI integrations for public and private customers, driving architecture, governance, and customer maturity through workshops and delivery.
Senior Data Engineer builds and advises on Microsoft Fabric-based data platforms and AI integrations for enterprise customers, driving architecture, workshops, and delivery.
Design and maintain scalable data pipelines for ML systems in Python and cloud platforms, collaborating with cross-functional teams to deliver data solutions.
Builds and maintains data pipelines and cloud infrastructure for a market intelligence platform using Python and large-scale data systems.
Senior Data Engineer builds and maintains cloud-based data pipelines and models for media analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
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