Data Engineer

TL;DR

Data Engineer: Design and implement robust data pipelines and perform dimensional modeling with an accent on data quality, compliance, and scalable data processing using tools like Spark and Trino. Focus on building and automating production-grade data workflows, integrating complex data sources, and ensuring data integrity.

Location: Lisbon, Portugal (Hybrid)

Company

hirify.global is a European technology company dedicated to responsible digitalisation, building innovative solutions for EU institutions, public and private organisations.

What you will do

• Design and implement data pipelines using dbt, Trino, and Spark.
• Perform dimensional modelling and data transformation.
• Develop dashboards and reports, including with Power BI.
• Write SQL queries and Python scripts for data processing.
• Containerise data workflows and support hybrid deployments.
• Ensure data quality and compliance, collaborating on data integration testing.

Requirements

• Master's with 10+ years or Bachelor's with 14+ years of experience.
• Ability to build and automate scalable data pipelines using production-grade Python.
• Experience managing transformation layers and implementing data quality tests.
• Practical knowledge of Trino or Spark for high-volume, distributed datasets.
• Track record using Power BI to turn complex data into actionable business insights.
• Hands-on experience using Docker or Kubernetes to streamline deployment.
• Familiarity with managing data workflows across both on-premises and cloud environments.
• English language proficiency (C1+).

Culture & Benefits

• Opportunity to work in a modern environment.
• Competitive compensation.
• Hybrid working model.
• Continuous learning opportunities (unlimited access to Udemy for Business, ad-hoc trainings).
• Personalized development plan for targeted career growth.
• Opportunity to work on challenging, large-scale projects that directly impact millions of citizens.