Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs and builds ETL/ELT pipelines, data models, and CI/CD workflows using tools like Snowflake, Airflow, Spark, and Kubernetes for high-profile clients.
Build and maintain standardized data pipelines on Microsoft SQL/Azure/Fabric, design ETL processes, and model data warehouses for BI solutions.
Build and optimize Azure-based data pipelines and analytics platforms using Data Factory, Fabric, and Databricks, then expose insights via Power BI for clients.
Design, build, and maintain scalable cloud data pipelines and infrastructure to ensure high-quality, reliable data for analytics, ML, and business processes for government and enterprise clients.
Designs and maintains scalable Azure-based data architectures, builds reliable ETL workflows, and manages data pipelines using Azure Data Factory, Python, and SQL.
Design and build scalable Azure data pipelines using Data Factory, Fabric, and Databricks to transform raw data into actionable insights for clients.
Designs and maintains scalable, reliable data pipelines and environments using SQL, NoSQL, Azure Data Factory, and Python.
Designs and builds scalable ETL/ELT pipelines in Azure Data Factory and Databricks using Python to transform and process large-scale data workflows.
Designs and maintains Azure cloud infrastructure using Bicep, builds CI/CD pipelines, and embeds security gates into deployment workflows.
Design and automate secure, scalable Azure cloud infrastructure using Bicep and CI/CD pipelines, integrating DevSecOps practices for reliable deployments.
Design, automate, and maintain ABN AMRO’s Azure cloud infrastructure using IaC, CI/CD, and security-first principles to support banking workloads.
Build and maintain a Python-based ETL framework that ingests, transforms, and delivers financial data using Spark, Azure Databricks, and Airflow.
Lead a team to design and maintain Vancity’s enterprise data platform, building scalable pipelines and ensuring high-quality data for business insights using Azure, Databricks, and Spark.
Leads backend architecture on Azure and Databricks, building cloud-native pipelines with PySpark and SQL Server while guiding CI/CD and mentoring engineers.
Builds and maintains scalable data pipelines using Lakehouse/Lakeflow architectures, job orchestration, and ETL/ELT workflows to support analytics and reporting.
Lead enterprise cloud modernization and platform engineering initiatives, mentoring teams and setting technical standards using Azure, Kubernetes, Java, and cloud-native tools.
Build and optimize SQL Server databases, ETL pipelines (Airflow/Azure Data Factory), and on-premise data storage for a commercial trading company.
Build and maintain a modern Azure-based data platform using Data Lake Storage Gen2 and Data Factory to support analytics, AI/ML, and large-scale data processing.
Senior Data DevOps Engineer builds and maintains Azure-based data platforms in Databricks, automates CI/CD pipelines, and ensures scalable, secure deployments for data workflows and services.
Build and optimize scalable data pipelines and streaming solutions on Microsoft Azure and Databricks to power analytics and operational processes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.