Azure Data Engineer

Listed as a remote role based in Dublin, County Dublin, Ireland. Azure Data Engineer Duration: 12 months Pay: €510/day (PAYE) - €651/day (umbrella) Location: Dublin (hybrid working) Hands-on Azure data engineer with 6–9 years’ experience building scalable data pipelines and streaming solutions using Databricks, PySpark and Azure Data Lake. Strong in SQL, Python and ETL/ELT, with a focus on simplicity, quality and delivery. JOB SUMMARY: We are seeking a Senior Data Engineer to join our data engineering team. This is a hands-on delivery role focused on building, optimizing, and maintaining scalable data pipelines using the Azure data platform. The ideal candidate is pragmatic, delivery-oriented, and collaborative, someone who can design fit-for-purpose solutions, work closely with leads and peers, and contribute positively to team culture. KEY RESPONSIBILITIES: Design, build, and maintain scalable data pipelines using Azure Databricks (PySpark) and Azure Data Lake. Hands on implementation experience in event-based or streaming ingestion pipelines(Event Hub, Kafka, etc.). Develop reliable ETL/ELT workflows, ensuring data quality, performance, and operational stability. Optimize Spark workloads with a focus on simplicity, efficiency, and maintainability. Work closely with the Data Engineering Lead to implement agreed designs, review solutions, and continuously improve engineering practices. Participate in peer code reviews, applying best practices and constructive feedback. Troubleshoot production issues proactively and support operational excellence. Collaborate effectively with cross-functional teams across Ireland and the US, communicating clearly and professionally. Required Experience & Skills 6–9 years of experience in data engineering roles. Strong hands-on experience with: Azure Databricks PySpark Azure Data Lake ADF / orchestration tools Solid programming experience in SQL and python. Good understanding of ETL/ELT best practices, data modeling, and distributed data processing. Experience working in production-grade data platforms. Strong communication skills and a collaborative, professional working style. Ability to take feedback positively and adapt solutions to team standards. Show more Show less Seniority level Mid-Senior level Employment type Contract Job function Information Technology Industries Technology, Information and Media