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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 maintain cloud-based data pipelines for a predictive maintenance system using Databricks, Spark, Python, and Azure services.
Builds and deploys industrial data pipelines and MLOps workflows to run AI models in cloud and edge environments for metals, energy and infrastructure clients.
Build and maintain scalable data pipelines and analytics software in Python and SQL, integrating IoT, CRM, and cloud platforms (Azure/Databricks) to power climate-tech solutions.
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.
Build and maintain ETL/ELT pipelines that feed a data warehouse and internal apps for an energy-trading company, using SQL, Python, Airflow, and APIs.
Senior Data Engineer builds scalable data pipelines and ML analytics for chemical manufacturing, focusing on predictive maintenance, optimization, and real-time streaming using Python, SQL, and Kubernetes.
Build and maintain AI-driven data pipelines in Databricks and Azure to collect, validate, and analyze ESG metrics for P&G’s sustainability goals.
Build and optimize large-scale data pipelines using Spark for AI and big-data platforms in automotive and aerospace sectors.
Leads design and delivery of scalable data engineering solutions using Python, Java, and Databricks to support analytics and business decisions in a hybrid work environment.
Designs and builds cloud data pipelines on Azure, using Spark and ML to ingest, cleanse, and transform plant data for analytics and decision-making.
Leads a team of data engineers to build and maintain data pipelines and warehouses using SQL Server SSIS, T-SQL, and Go Anywhere for a utilities-focused agency.
Senior Data Engineer builds and maintains scalable Azure/Databricks pipelines for a Swedish energy-sector client, collaborating with scientists and owning production-grade data solutions.
Builds and maintains data pipelines for internal apps and trading analytics in an energy-focused fintech company using SQL, Python, and Airflow.
Build and maintain scalable Azure-based data pipelines and Databricks-powered analytics platforms for a Swedish energy utility, enabling data-driven decisions and AI solutions.
Build and deploy ML models on Azure Databricks to analyze engineering, supply chain, and marketing data, turning insights into productivity gains for a climate-tech company.
Builds and maintains the analytics pipeline for a diamond supply-chain data platform, transforming raw data into business-ready insights.
Design and build scalable data pipelines and ML-ready datasets for chemical manufacturing, enabling predictive maintenance, optimization, and automation using Python, SQL, and cloud-native tools.
Build and maintain ESG data pipelines in Databricks and Azure to power sustainability reporting and AI-driven decisions for a global FMCG giant.
Designs and maintains scalable data pipelines and a central data platform using Databricks, Snowflake, and Python to power analytics and AI/ML across the organization.
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