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.