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Lead hands-on technical role designing scalable Azure data platforms, setting standards, and mentoring engineers for a consultancy serving finance and logistics clients.
Builds data pipelines and ML models to predict rail equipment failures and optimize maintenance schedules for a public transport operator.
Part-time role in Sevenum optimizing warehouse operations by analyzing logistics data to uncover trends and bottlenecks, then recommending process improvements.
Build and own scalable data pipelines and AI-driven web scraping systems for Roamler’s outlet-data products, integrating LLMs and agent frameworks on AWS/Azure.
Design, build, and optimize SQL-based data pipelines and models to support analytics and reporting for a logistics-focused company.
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.
Build and maintain an AWS-based lakehouse, design PySpark ETL/ELT pipelines, and implement Airflow/IaC workflows to power AI-driven decisions for 30,000+ retailers.
Senior Data Engineer building cloud-based data platforms for logistics and mobility clients using Python, SQL, Azure, and Databricks to optimize supply chains, route planning, and real-time tracking.
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 data pipelines and ML models to predict rail maintenance needs, improving reliability for public transport systems using Python, SQL, and Kubernetes.
Build and maintain SQL-based data pipelines and models for a 4PL provider, enabling analytics and reporting across global supply chains.
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.
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
Senior Data Engineer builds scalable, secure data platforms for banking, logistics and manufacturing clients using Databricks, PySpark, SQL and cloud orchestrators.
Builds scalable data pipelines and AI-ready infrastructure for logistics and energy clients using Spark, Fabric, and cloud platforms like AWS/Azure/GCP.
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
Build and maintain scalable data pipelines and warehouses for a logistics platform, ensuring reliable data flows for shipping, customer insights, and financial reporting.
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Part-time role transforming logistics and warehouse data into insights to optimize operations and support decision-making across warehouse locations.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
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