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Senior Snowflake Data Engineer designs and implements cloud data pipelines for AI and renewable-energy clients, using ETL and cloud solutions while mentoring teams.
Builds data pipelines and predictive models for EV-charging infrastructure in collective housing, analyzing consumption patterns and optimizing grid impact using Python, Spark, and PostgreSQL.
Build and deploy ML models for supply-chain forecasting using AWS EKS and MLOps pipelines; design robust data pipelines and monitor production systems.
Senior Data Engineer builds and maintains large-scale data pipelines in Python and Databricks, leveraging AWS services to collect, transform, and deliver high-volume energy-sector data for analytics and business use.
Designs and builds cloud data pipelines for aerospace engineering teams using Python and Java, ensuring scalable, secure data infrastructure.
Senior Data Engineer building scalable data pipelines and AI solutions to accelerate digital transformation at a global industrial group, using Python, Databricks, and cloud platforms.
Build and secure big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models for maintenance and decision support.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Spark, Snowflake, Kafka, and GCP/Azure.
Lead a team building and maintaining data pipelines and systems for energy-sector projects, focusing on predictive maintenance and data optimization using Python.
Designs and builds data pipelines and processing systems to power AI solutions for energy optimization and industrial automation using Python, Spark, and cloud platforms.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Kafka, Spark, Snowflake, and GCP/Azure.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
Lead Data Engineer designing and maintaining Databricks/Spark pipelines in Python and SQL to migrate and industrialize a new energy-sector data platform, ensuring performance, reliability, and cost control.
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Senior Data Engineer builds and scales Databricks/AWS pipelines to industrialize analytics and ML prototypes into robust, governed solutions for an energy-sector platform.
Build and optimize data pipelines for an energy company using Airflow, Python, and Trino, while auditing and improving existing workflows and collaborating with non-technical teams.
Build and optimize data pipelines for an aerospace-industry client’s global Data Platform, refactoring Python/Spark jobs to cut costs and adding observability dashboards for FinOps.
Design, build, and optimize cloud-based data pipelines for a global aerospace company, collaborating with cross-functional teams to deliver scalable data solutions.
Senior Data Engineer builds scalable data pipelines and AI solutions for Nexans, leveraging Python, Databricks, and cloud platforms to drive digital transformation across industrial, financial, and sales domains.
Builds risk-analysis tools and automated reports for a sustainable-investment firm, leveraging GCP and no-code platforms to track financial, regulatory and ESG metrics.
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