Data Engineer
Duration:
6 months (possible extension)
Location:
Dublin, Ireland
Onsite requirements:
2 days per week onsite
Engagement Type:
PAYE or Umbrella / Limited Company Contractors
Day Rate: (PAYE
): 323.40Euros per day OR (
Umbrella / LTD
): 412.62Euros per day
**LEGAL RIGHT TO WORK:
Candidates must have the legal right to work in Ireland. Sponsorship is not available for this role.**
Atrium Global is partnering with a client in the data and technology sector to appoint an experienced Data Engineer for a six-month contract engagement.
Job Overview:
We are seeking a data Engineer to join a high-performing data engineering team.
This is a hands-on delivery-focused role centred on designing, building, optimising, and maintaining scalable data pipelines within the Azure data ecosystem.
The successful candidate will be pragmatic, collaborative, and delivery-driven, capable of implementing fit-for-purpose solutions while contributing positively to engineering standards and team culture.
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.
What Success Looks Like in This Role:
Delivers pragmatic, fit-for-purpose solutions aligned to agreed designs.
The Successful candidate will prioritize simplicity, maintainability, delivery over over-engineering.
Communicates clearly, constructively, and professionally.
Works reliably with leads and peers without unnecessary friction.
Contributes positively to team culture and engineering standards.