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Data Engineer

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Summary

Senior Data Engineer designing and building a modern cloud data platform on Azure — creating scalable data pipelines, Data Lake/warehouse solutions, and ETL/ELT processes to power analytics, reporting, and AI initiatives. Contract role based in Dublin, paid at a competitive daily rate.

We're partnering with an innovative organisation that is investing heavily in its Data & AI capabilities and is looking for a Senior Data Engineer to support the development of a modern cloud-based data platform.

This role will play a key part in designing, building, and optimising scalable data solutions that enable advanced analytics, reporting, and AI initiatives across the business.

Responsibilities

  • Design and develop scalable data pipelines using Azure technologies
  • Build and maintain Data Lake and Data Warehouse solutions
  • Develop ETL/ELT processes to integrate data from multiple sources
  • Work closely with Data Science, Analytics, and business stakeholders
  • Improve data quality, governance, and platform performance
  • Support the evolution of the organisation's data architecture
  • Contribute to best practices across engineering and data management

Required Experience

  • Strong experience as a Data Engineer in enterprise environments
  • Hands-on experience with Azure Data Factory, Synapse, Databricks, or similar technologies
  • Strong SQL and data modelling expertise
  • Experience building Data Warehouse solutions
  • Experience working within cloud environments (Azure preferred)
  • Ability to work independently and engage with stakeholders

Nice to Have

  • Experience with IoT or high-volume data environments
  • Exposure to Power BI
  • Knowledge of Kimball Data Modelling

What's on Offer?

  • Competitive daily rate
  • Long-term project with extension potential
  • Opportunity to work on large-scale data initiatives

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →

See also

Data Engineering jobs by country — openings, pay and top skills →

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