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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:** August 21, 2026 - **Apply:** https://clk.platform.jobster.com/?at=1787304367&b=&c=df29ac45-dcb8-4fd9-bc87-9df19656aaad&co=29647213-7bcc-4728-9247-ec036d531ce5&cu=9d19ad1d-25d0-4b84-a20f-8340b86a47b4&cw=7&dt=o&fc=a&gc=a&i=9bc6a1d7-b041-4a1e-8095-bd2b3501a0e8&ic=NL&mf=c&p=47b4ebce-5907-42d5-9b5e-b30908a42d08&pm=c&po=5f8e30d1-709e-45e1-83c8-a466772a8ebf&pr=1r&r=https%3A%2F%2Fwww.jobleads.com%2Fregistration%2Fjob%3FcampaignId%3D118%26jmId%3D2377%26jobId%3Defe2b99328a3d01678a192e02c1d4c0a0%26jobLocation%3D1637063573%26utm_campaign%3Djobs%26utm_content%3Djobmarket-id%253D2377%257Clandingpage-id%253Dn%252Fa%257Cjob-id%253Dfe2b99328a3d01678a192e02c1d4c0a0%257Cjob-workarea%253D08-07%257Cjob-hierarchy%253D9%257Cjob-salary-benchmark%253D3%257Cjob-industry%253D%257Cjob-location%253Damsterdam%257Cjobtitle%253Dsenior-azure-data-engineer-%2528id%253A3501%2529%26utm_medium%3Djob-external%26utm_source%3Djobster%257Cr-jb%257C__Liplyn%2BIG__%257Cc-nl&s=mp&t=cl&u=ip-8b6c712e309348d90f6aafbf8b832d2c&v=7fe0a034-8e75-4919-8ed7-4cf081123ab7&sig=8bd8115e27b98e56f0198b287a536e3ea3f52a4eaa4d8996589e99e4 ## 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., * 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 - 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