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Designs and delivers scalable data pipelines, models, and analytics solutions using Azure, Databricks, and SQL to drive business insights and operational excellence in fleet management and financial services.
Senior Data Engineer builds and optimizes Azure Databricks pipelines, migrates Synapse notebooks, and designs Delta Lake models for a global data consultancy serving financial clients.
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Senior Data Engineer builds and optimizes Azure Databricks pipelines for a financial client, migrating Synapse workloads to Delta Lake and creating scalable data ingestion frameworks.
Build and optimize scalable data pipelines using Python, PySpark, and Databricks for batch and streaming workloads, managing Delta Lake layers and AWS S3 storage.
Build a new Databricks-on-Azure lakehouse, migrate legacy pipelines, and set up CI/CD to lay the foundation for AI-driven analytics in a superannuation business.
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Lead a team to design and scale Databricks-based data ingestion pipelines, architecting Bronze-Silver-Gold layers with Delta Lake and Unity Catalog for enterprise Lakehouse platforms.
Senior Data Engineer builds and optimizes Databricks/Azure pipelines for enterprise clients, focusing on Lakehouse architecture, Delta Lake, and Spark-based workflows.
Designs and optimizes Databricks Lakehouse and Azure-based data pipelines using Delta Lake, Spark, and Fabric, with Python/SQL and CI/CD practices.
Build and maintain scalable data pipelines on AWS and Databricks using Python, PySpark, and SQL to deliver reliable, high-quality data for analytics and decision-making.
About the job Azure Data Integration Engineer (DP600/700) The role involves building and managing data pipelines, troubleshooting issues, and ensuring data accuracy across various platforms such as Azure Synapse…
Designs and maintains scalable data pipelines using Airflow, Spark, Kafka, and Iceberg tables, containerized via Docker/Kubernetes and deployed through GitLab CI/CD.
Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Build and optimize scalable data pipelines on Azure Databricks using Delta Lake, Spark, and PySpark to power analytics and reporting for enterprise intelligence.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
Build and deploy cloud-native apps on Azure, automate CI/CD pipelines, and manage data lakes for real-time analytics and energy-trading workflows.
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