Data Engineer — Build Scalable Analytics Pipelines (Hybrid)

IRIUM Portugal; Lisboa; Hybrid; EUR 31,000 - 36,000; Full time

Benefits offered by this job

Flexible remuneration

Health insurance

Self-paced tech training

Job summary

IRIUM Portugal is seeking a Data Engineer to join our team in Lisbon. You will design, build and maintain production-grade data pipelines for analytics, reporting and AI applications, leveraging cloud-native data engineering with Azure and Snowflake.

You will translate business and AI requirements into robust data models, ensure data quality and governance, and collaborate with Data Scientists and IT teams.

Qualifications

• Strong hands-on experience with Python, SQL, data modelling and ETL/ELT development.
• Experience designing, building and maintaining production-grade data pipelines for analytics, reporting and AI applications.
• Experience with cloud-native data engineering, ideally using Microsoft Azure.
• Practical experience with Snowflake or comparable cloud data platforms.
• Ability to develop reliable, reusable and well-documented enterprise data products.

Responsibilities

• Design, build and maintain production-grade data pipelines for analytics and AI.
• Collaborate with Data Scientists, AI Engineers and business stakeholders to translate requirements into data models and pipelines.
• Ensure data quality, observability, governance and security across data products.

Skills

Python

SQL

Data modelling

ETL/ELT

Data pipelines

Azure

Snowflake

Data quality

Data governance

Observability

Security

Data orchestration

AI requirements translation

Collaboration with Data Scientists

GitHub Copilot familiarity

Analytical skills

Tools

Azure

Snowflake

AWS

GitHub Copilot

Job description

IRIUM Portugal is seeking a Data Engineer to join our team in Lisbon. You will design, build and maintain production-grade data pipelines for analytics, reporting and AI applications, leveraging cloud-native data engineering with Azure and Snowflake.

You will translate business and AI requirements into robust data models, ensure data quality and governance, and collaborate with Data Scientists and IT teams.