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Cpl Healthcare

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Data Engineer

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Summary

Cpl Healthcare is recruiting a Data Engineer for a Dublin-based technology client to design and maintain ETL/ELT pipelines, data models, and integrations that support analytics, reporting, and AI initiatives. Core stack is Python, SQL, and cloud data platforms; Databricks and Go are pluses. Hybrid role, 3 days per week in Dublin.

Data Engineer

Dublin | Hybrid (3 days per week)

  • Cpl are partnering with an innovative and rapidly growing technology organisation to hire a Data Engineer for their Dublin-based team.
  • This is an exciting opportunity to join a high-performing engineering environment where data is at the heart of product development, analytics, and AI-driven solutions.
  • The successful candidate will play a key role in designing and maintaining the data platforms, pipelines, and integrations that power critical business applications.
  • Working closely with software engineers, AI/ML specialists, and DevOps teams, you will help transform complex datasets into trusted, scalable, and actionable data assets.

The Role

As a Data Engineer, you will be responsible for building and supporting robust data infrastructure that enables advanced analytics, reporting, and machine learning initiatives.

Key responsibilities include:

  • Designing and maintaining scalable ETL/ELT and data ingestion pipelines.
  • Transforming structured, semi-structured, and unstructured data into high-quality datasets.
  • Developing data models, validation frameworks, and quality controls.
  • Integrating data from APIs, cloud platforms, internal systems, and third-party sources.
  • Supporting data governance, security, compliance, and documentation standards.
  • Collaborating with cross-functional engineering and data teams to ensure reliable data availability across business-critical platforms.

Skills & Experience

We are looking for candidates with:

  • 2-3 Years experience in a similar role
  • Strong commercial experience in Data Engineering.
  • Advanced SQL and Python development skills.
  • Expertise in data ingestion, transformation, data modelling, and pipeline optimisation.
  • Experience working with APIs, cloud-based data environments, data warehouses, or lakehouses.
  • Exposure to workflow orchestration and systems integration.
  • Knowledge of Databricks would be advantageous.
  • Experience with Go (Golang) is beneficial but not essential.
  • Understanding of data governance, security, privacy, and compliance best practices.
  • Must have Irish/EU Citizenship

What's on Offer

  • Opportunity to work on a modern data platform supporting AI and analytics initiatives.
  • Exposure to cutting-edge technology and large-scale data challenges.
  • Collaborative engineering culture with strong cross-functional engagement.
  • Hybrid working model based in Dublin.
  • Significant opportunities for learning, growth, and career progression within a scaling technology organisation.

Key Technologies

  • Python
  • SQL
  • Go (Golang)
  • APIs & Integrations
  • Cloud Data Platforms
  • ETL / ELT
  • Data Modelling
  • Databricks (desirable

#LI-JM2

Skills

See also

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