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Senior Data Engineer - Pipelines, AI/ML & Databricks
Design and build enterprise data pipelines and platforms using PySpark, Python, SQL, Azure and Databricks to turn raw data into insights for clients.
Lead Data Engineer
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Azure Data Engineer — ETL & Data Warehousing, Remote
Designs and maintains Azure Synapse ETL pipelines in Python (PySpark) to move and transform data for analytics and reporting.
Azure Data Engineer: ETL & Data Warehousing
Designs and builds ETL pipelines in Azure Synapse using PySpark, models star schemas, and ensures data quality and performance for clients.
Senior Data Engineer — Databricks & Azure Data Pipelines
Designs and builds scalable data pipelines on Azure using Databricks, PySpark, Python and SQL, focusing on Delta Lake and CI/CD for enterprise analytics.
Hybrid Data Engineer: Build Scalable Data Pipelines
Build and optimize scalable data pipelines using PySpark, SQL, and orchestration tools to ensure reliable data for analytics and advanced models in a hybrid environment.
Data Engineer
Build and maintain data pipelines and cloud data warehouses (Azure, AWS) using PySpark, Databricks, SQL, and Qlik to support analytics and decision-making in a pharma company.
Data engineer
Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Data Engineer
Design and build scalable data pipelines and platforms using Azure Databricks and PySpark to enable data-driven decision-making for AI-driven analytics.
Data Engineer
Build and maintain cloud-based ETL/ELT pipelines and datasets for manufacturing data, enabling analytics and AI/ML at Corning’s Optical Communications division.
Data Engineer
Build and maintain scalable Azure Databricks pipelines and data products for Daikin’s HVAC-focused data platform, ensuring reliability and enabling analytics and AI-driven insights.
Data Engineer
Design and build scalable cloud data pipelines using Python, PySpark, and Databricks on AWS, ensuring data quality and reliability for analytics and ML workloads.
Azure Data Engineer - Build AI-Driven Data Pipelines
Builds scalable data pipelines and AI-driven analytics using Python, PySpark, SQL, and Microsoft Fabric on Azure.
Lead Azure Fabric Data Engineer - Remote Position
Lead a team to design and build scalable Azure Fabric data platforms, including Lakehouse architectures, pipelines, and Power BI models, while mentoring engineers and collaborating with stakeholders.
Senior ETL Data Engineer
Build and maintain ETL pipelines, data warehouses, and lakes using Ab Initio, PySpark, and SQL to process and analyze financial data securely at scale.
AI Application Architect
Design and implement AI solutions for enterprise clients, integrating GenAI, NLP, and multimodal systems while optimizing algorithms and reducing latency.
Senior Data Engineer - Azure Databricks & DevOps Up to 73k
Build and maintain scalable ETL pipelines and CI/CD workflows on Azure Databricks and Microsoft Azure, enabling reliable data insights and cloud cost optimization for enterprise stakeholders.
Data Engineering Graduate Programme (Immediate Start)
Build and optimize ETL pipelines, migrate data to cloud warehouses, and maintain data lakes using Python, SQL, and cloud tools for global clients.
Lead Data Engineer
Lead a team to design and build scalable Azure-based data pipelines and Lakehouse architectures using Databricks, Delta Lake, and Azure Synapse to integrate enterprise data for analytics and AI insights.
Lead Data Engineer: Azure Lakehouse & Pipelines
Design and maintain scalable Azure-based data platforms using Python, PySpark, and SQL to integrate data sources and optimize pipelines for performance.