Data Engineer (SQL/Python) — Hybrid Dublin, AI & Analytics

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, 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.