> Markdown version of [/jobs/ext/1210644-senior-azure-data-engineer-id-3501](https://www.wearedevelopers.com/jobs/ext/1210644-senior-azure-data-engineer-id-3501). 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:3501) - **Company:** Stafide - **Location:** Amstelveen, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Microsoft Azure, Cloud Database, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Database Queries, Distributed Computing Environment, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Workflow Management Systems, Enterprise Data Management, Data Processing, Data Ingestion, Azure Data Factory, System Availability, Pyspark, Data Management, Data Delivery, Data Pipelines, Databricks - **Published:** July 9, 2026 - **Apply:** https://www.jobbird.com/nl/vacature/24413255-senior-azure-data-engineer-id3501 ## About the Role * 6-8 years of overall experience in data engineering and enterprise data platform environments, with a strong focus on cloud-based data solutions. * Strong practical experience in building and managing data integration workflows using Azure Data Factory. * Advanced proficiency in Python for data processing, automation, and pipeline development. * Solid hands-on experience with PySpark for large-scale distributed data processing. * Strong command of SQL for data querying, transformation, and performance optimization. * Demonstrated experience in designing and supporting ETL pipelines in production environments. * Practical experience using Apache Airflow for workflow orchestration and scheduling. * Working knowledge of the Atlas Framework for data governance and metadata management. * Experience supporting data platforms in run and operations mode, including incident management and SLA adherence. * Strong analytical, troubleshooting, and problem-solving skills. * Effective communication skills and the ability to collaborate with cross-functional technical teams. You Should Possess the Ability to: * Design and implement scalable, reliable, and high-performance data engineering solutions on Azure. * Automate and optimize data processing workflows using Python and PySpark. * Proactively identify, analyze, and resolve data pipeline and performance issues. * Manage operational responsibilities while ensuring data accuracy and timely data delivery. * Work independently while taking ownership of end-to-end data engineering tasks. * Collaborate effectively with technical and non-technical stakeholders. * Develop and maintain clear technical documentation and operational runbooks. ## Description * Design, develop, and maintain scalable data pipelines and data processing solutions using Azure Databricks and Azure Data Factory. * Build, optimize, and support ETL workflows to ensure reliable and timely data ingestion and transformation across enterprise data platforms. * Manage run and operational activities, including monitoring data pipelines, identifying issues, and resolving incidents within defined SLAs. * Ensure timely and accurate data onboarding from source systems into enterprise data environments. * Develop and enhance data processing logic using Python, PySpark, and SQL to support large-scale analytics and reporting needs. * Implement and manage workflow orchestration and scheduling using Apache Airflow. * Support data governance and metadata management initiatives using the Atlas Framework. * Troubleshoot and resolve complex data pipeline, performance, and data quality issues in production environments. * Collaborate with cross-functional teams to ensure data availability, reliability, and operational stability. * Create and maintain technical documentation, operational procedures, and best practices for data engineering processes. ## Related Videos - [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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## 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) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)