Senior Azure Data Engineer (Databricks)
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Summary
A 12-month, hands-on senior data engineering contract in Dublin building and optimizing scalable data pipelines on Azure using Databricks (PySpark), Azure Data Lake, and streaming ingestion (Event Hub/Kafka), with strong SQL and Python. The role includes ETL/ELT development, Spark tuning, code reviews, and production support.
Hands-on Senior Azure Data Engineer (Databricks) 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.
Role Overview:
- Location: Dublin
- Contract Type: 12 months
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.
Required Experience & Skills
- 6–9 years of experience in data engineering roles.
Strong hands-on experience with:
- 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.
- Ability to take feedback positively and adapt solutions to team standards.
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.