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Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Azure Synapse, Databricks, and PySpark to power analytics and ML workloads.
Senior Data Engineer
Designs and builds scalable data pipelines and architectures using Azure Data Lake, Synapse, and Databricks to power analytics and real-time insights for enterprise clients.
Lead Azure Data Engineer
Lead the design and development of ETL/ELT pipelines and data storage solutions on Azure for a Federal Government department, enabling analytics and decision-making with modern cloud technologies.
Data Engineer – Azure & Databricks
Build and optimize Azure-based data pipelines and Databricks environments to process large datasets, enabling analytics and insights for the business.
Senior Data Engineer - Finance Data Platform
Build and maintain scalable data pipelines and models for financial planning, reporting, and forecasting using Databricks, SQL, and EPM tools like TM1.
Microsoft Azure Data Engineer
Build and maintain Azure-based data warehouses and ETL pipelines using Azure Data Factory, Synapse, and SQL, integrating cloud and on-prem systems.
Azure Data Engineer - Databricks & Data Pipelines
Designs and optimizes data pipelines using Azure and Databricks, focusing on big data solutions with Python and SQL.
Senior Azure Data Engineer – Hybrid, Data Pipelines
Designs, builds, and maintains Azure data pipelines using ADF, Databricks, and Synapse, while developing Python APIs and working with SQL/JSON in a hybrid role.
Databricks Platform Engineer: Data Pipelines & APIs
Design and maintain Databricks-based data pipelines and APIs using Python, SQL, and Lakeflow to deliver scalable enterprise solutions.
Databricks Platform Engineer - Data Pipelines & Apps
Build and maintain data pipelines and applications on Databricks using Python and SQL to support the company’s data platform and integrations.
Senior Databricks Data Engineer: Pipelines & Analytics
Design and optimize scalable data pipelines using Databricks and cloud platforms, collaborating with teams to build analytics solutions.
Data Engineer
Build and maintain ETL/ELT pipelines and data storage on Azure for a government department, using Data Factory, Databricks, and SQL Server.
Data Engineer
Design and build data pipelines for an education-sector client using Azure, Databricks, and Kafka to migrate and integrate enterprise data systems.
Senior Data Engineer - Cloud Data Platform & ML Pipelines
Build and maintain cloud data pipelines and ML infrastructure on Databricks/AWS, collaborating with data scientists and BI teams to enable analytics and machine learning at scale.
Analytics Engineer
Build and maintain data pipelines and MLOps frameworks in Azure to support healthcare customer analytics and propensity models for personalized marketing campaigns.
Senior Analytics Engineer
Senior Analytics Engineer builds scalable data pipelines, models, and dashboards using SQL, Python, dbt, Snowflake, and BI tools to deliver client-facing analytics solutions in a consultancy setting.
Data Platform Technical Lead
Lead the modernization of a large organization’s data platform, migrating legacy systems to cloud-based analytics using Databricks, Spark, and Delta Lake while overseeing delivery teams and governance.
Databricks Tech Lead: Data Ingestion & Lakehouse Architect
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.
AI Data Engineer: Build AI-Ready Pipelines & RAG Systems
Designs scalable data pipelines and AI-ready systems using Databricks, Spark, and Python to enable retrieval-augmented generation (RAG) and AI capabilities.
Lead Data Engineering Consultant
Lead a team to design and build scalable data platforms and warehouses using Snowflake, AWS/Azure, and Databricks, guiding clients from discovery to delivery.