> Markdown version of [/jobs/ext/1210207-senior-azure-data-engineer-id-3500](https://www.wearedevelopers.com/jobs/ext/1210207-senior-azure-data-engineer-id-3500). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Azure Data Engineer (ID:3500) - **Company:** Stafide - **Location:** Amstelveen, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Computer Programming, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, DevOps, Python (Programming Language), SQL Azure, Performance Tuning, Release Management, Software Engineering, SQL Stored Procedures, SQL Databases, Data Logging, Data Processing, Data Ingestion, Azure Data Factory, Pyspark, Git Flow, Deployment Automation, Bicep, Data Management, Software Version Control, Data Pipelines, Databricks - **Published:** July 9, 2026 - **Apply:** https://www.jobbird.com/nl/vacature/24414070-senior-azure-data-engineer-id3500 ## About the Role * 6-8 years of overall experience in Data Engineering or related roles. * Strong hands-on expertise in Azure Data Factory, Azure Databricks, and PySpark. * Proficiency in Python programming for data processing and automation. * Advanced knowledge of SQL performance tuning and data modeling. * Experience implementing DevOps practices in data engineering environments using Azure DevOps. * Solid understanding of Azure cloud infrastructure and Infrastructure as Code using Bicep. * Experience working with enterprise-scale data ingestion, transformation, and orchestration. * Familiarity with data governance, security best practices, and compliance frameworks. ## Description * Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Factory (ADF). * Build and optimize data transformation workflows using Azure Databricks (PySpark) and Python. * Develop and fine-tune SQL queries, stored procedures, and views for high-volume data platforms. * Implement data quality frameworks, monitoring, and logging mechanisms across data pipelines. * Establish and manage CI/CD pipelines for data solutions using Azure DevOps. * Handle deployment automation for ADF pipelines, Databricks notebooks, and database scripts. * Manage version control, branching strategies, and environment configuration across development lifecycles. * Deploy and maintain Azure infrastructure components such as Azure SQL, Event Grid, Virtual Networks (VNet), Private Endpoints (PEP), Key Vaults, and related services using Bicep. * Ensure adherence to security, governance, and compliance standards across data platforms., * Design and implement high-performance, scalable, and reliable data pipelines. * Troubleshoot, optimize, and enhance data workflows for performance and cost efficiency. * Collaborate with cross-functional teams including analytics, application development, and infrastructure teams. * Automate deployments and enforce best practices for code versioning and release management. * Translate business and technical requirements into robust data engineering solutions. * Ensure strong documentation, monitoring, and operational support for data platforms. What We Bring to the Table: * Opportunities to work on large-scale, cloud-based data transformation initiatives. * Exposure to modern Azure data and analytics ecosystem. * A collaborative environment focused on innovation, automation, and continuous improvement. * Opportunities to contribute to architecture design and next-generation data platform development. * A learning-driven culture encouraging adoption of emerging cloud and data engineering technologies. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs)