We are seeking a MSenior Azure Data Engineer; ideal candidate will have a strong professional behaviour and background in developing & delivering scalable data solutions via Azure Databricks Data Lake. 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.
Role Overview
Location: Dublin
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 Skills
PySpark
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.
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