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Senior Data Engineer building scalable pipelines and cloud platforms for energy-transition projects, using Python, SQL, Databricks and Azure to process real-time IoT and smart-meter data.
Builds and maintains a reliable data warehouse and ETL pipelines using Microsoft BI tools, Python, Databricks, and DevOps practices to support a sustainable energy company.
Design and operate Microsoft Fabric-based data platforms, building scalable ETL/ELT pipelines in Python and PySpark to support clean-energy infrastructure analytics.
Build and maintain backend systems for IoT energy devices, analyze telemetry data, and implement reliability improvements to reduce downtime and enhance fleet performance.
Designs and builds data pipelines and ETL workflows for trading data, then models and stores it to support portfolio management, market analysis, and algorithmic trading systems.
Build and scale data pipelines for a mobility platform, integrating APIs and creating datamarts for reporting and analytics.
Lead the design and delivery of modern data platforms using Microsoft Fabric, PySpark, and SQL to build scalable pipelines and enable AI-driven insights for clients in healthcare, government, and other sectors.
Build and maintain scalable data pipelines and models in Python/SQL to support energy forecasting, renewable asset control, and operational optimization for a climate-focused energy company.
Senior data engineer leading robust, future-proof data solutions for Enexis’s energy grid, coaching teams, and designing scalable data pipelines to support the energy transition.
Lead the design and maintenance of data pipelines and Snowflake-based analytics to empower teams with reliable, actionable datasets for faster decision-making.
Build and maintain data pipelines, models, and dashboards to turn raw data into actionable insights for Vattenfall’s business teams.
Maintain and optimize SCADA system data for Enexis’s electricity networks, ensuring 24/7 reliability and security while supporting the energy transition.
Senior Data Engineer builds scalable pipelines and data products for the energy transition using SQL, Python, and Azure tools like Databricks and Delta Lake.
Build and maintain data pipelines and models in Azure Databricks and Synapse to deliver analytics and ML-ready datasets for a fresh-produce company.
Design and build scalable Azure data pipelines using PySpark, Databricks, and Fabric to transform raw data into insights for clients in healthcare, government, finance, and more.
Build and scale a new Azure-based data platform using Synapse, PySpark, and Git, while maintaining pipelines and monitoring for a finance-focused company.
Build and maintain BI pipelines that transform raw data into Power BI dashboards for Enexis’s energy-transition projects using Snowflake, Matillion, and DataVault modeling.
Senior Data Engineer builds and optimizes Azure-based pipelines and warehouses to power Next Sense’s climate-neutral building platform, using Python, Spark, and KQL.
Build and maintain scalable data pipelines in Python and PostgreSQL to support commodity trading decisions, including ETL, automation, and BI dashboards in Qlik Sense.
Build and optimize data pipelines and warehouses for clients using Azure Data Factory, Databricks, Python, and CI/CD to enable data-driven decisions in sectors like energy, healthcare, and logistics.
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