Data Engineer - SQL/Python

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

Benefits offered by this job

Hybrid working in Dublin

Career progression

Learning opportunities

Job summary

Cpl, partnering with an innovative and rapidly growing technology organisation in Dublin, is hiring a Data Engineer to join a high-performing engineering team where data is at the heart of product development, analytics and AI-driven solutions.

You will design and maintain data platforms, pipelines and integrations that power critical business applications, collaborating with software engineers, AI/ML specialists and DevOps to turn complex datasets into trusted, scalable data assets.

Qualifications

• 2–3 years experience in a Data Engineer role.
• Strong SQL and Python development skills.
• Experience with APIs, cloud data environments and data warehouses or lakehouses.
• Exposure to workflow orchestration and data governance best 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

SQL

Python

Go

APIs

Data Modelling

ETL/ELT

Cloud Platforms

Databricks

Tools

Databricks

Job description

• 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.

Dublin | Hybrid (3 days per week)

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