Data Engineer

Cpl Group; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid working model in Dublin

Learning and career progression

Collaborative engineering culture

Job summary

Cpl Group in Dublin is seeking a Data Engineer to build and maintain scalable data infrastructure supporting analytics and AI-driven initiatives. You will design robust data pipelines, models, and validation frameworks to enable reliable data for business-critical applications.

You will collaborate with software engineers, AI/ML specialists, and DevOps to ensure data availability across platforms, while upholding governance and security standards in a hybrid Dublin office setting.

Qualifications

• 2-3 years of experience in data engineering or similar
• Strong commercial experience in data engineering roles
• Experience with SQL and Python development
• Experience building ETL/ELT pipelines and data ingestion
• Experience with APIs, cloud data environments, data warehouses or lakehouses
• Exposure to workflow orchestration and systems integration
• Knowledge of data governance, security, privacy and compliance practices

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 across business-critical platforms.

Skills

Advanced SQL

Python

Data ingestion

Data transformation

Data modelling

ETL/ELT

APIs

Cloud data platforms

Data governance

Databricks

Go

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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