Data Engineer

Cpl Healthcare; Dublin; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

Cpl Healthcare in Dublin is seeking a Data Engineer to join a rapidly growing technology organisation. You will build and maintain data infrastructure that underpins analytics, reporting, and AI-driven solutions, in a hybrid Dublin-based environment.

Collaborate with software engineers, AI/ML specialists, and DevOps to transform complex data into scalable, trusted data assets. The role focuses on robust pipelines, APIs, cloud platforms, and governance practices.

Qualifications

• 2–3 years of experience in a Data Engineer role.
• Strong commercial experience in Data Engineering.
• Advanced SQL and Python development skills.
• Experience with data ingestion, transformation, modelling, and pipeline optimisation.
• Experience with APIs, cloud data environments, data warehouses or lakehouses.
• Exposure to workflow orchestration and systems integration.
• Databricks knowledge is desirable.
• Go (Golang) experience is beneficial but not essential.
• Understanding of data governance, security, privacy and compliance.
• Irish/EU Citizenship required.

Responsibilities

• 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.

Skills

SQL

Python

Go

ETL/ELT

APIs & Integrations

Data Modelling

Data Ingestion

Cloud Data Platforms

Databricks

Tools

Databricks

Job description

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

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