Data Engineer, Domain Data - Remote (Portugal)

United States Digital Space LLC; United States; Remote; USD 70,000 - 104,000; Full time

Benefits offered by this job

Permanent contract

Competitive salary + annual bonus up t

Health insurance and life insurance

100% remote work in Portugal (and the

Job summary

the company is building a centralized data engineering team distributed across Lisbon, Berlin, Barcelona, and Poznan, embedding engineers in cross-functional squads. You will design and implement data pipelines, organize data assets as products, and collaborate with product managers, data scientists, and regional partners to deliver end-to-end data projects.

You will contribute to data mesh adoption, uphold privacy-by-design principles, and help raise data literacy across the engineering

Qualifications

• 2+ years of experience building complex data pipelines and working with both technical and business stakeholders.
• Excellent SQL skills with ability to write efficient, readable queries.
• Familiarity with Medallion architecture and modern data platforms.
• Experience with cloud data technologies (AWS, GCP, or Azure) and big data tools.
• Ability to translate business terms and KPI into technical requirements.

Responsibilities

• Enable efficient consumption of domain data as a product by delivering actionable datasets and data models.
• Build and maintain data pipelines using a broad set of technologies.
• Support teams in building decentralised data solutions and product integrations.
• Build data pipelines in a Lakehouse using Medallion architecture.
• Promote data literacy and act as a data ambassador across teams.
• Collaborate with product teams to integrate data into end products and ensure data quality.

Skills

SQL

Medallion architecture

Python

Data pipelines

Cloud data tech

Data modeling

Data quality

Big data tools

English proficiency

Tools

AWS

GCP

Azure

Redshift

Spark

Trino

Iceberg

Airflow

Job description

the company is building a centralized data engineering team distributed across Lisbon, Berlin, Barcelona, and Poznan, embedding engineers in cross-functional squads. You will design and implement data pipelines, organize data assets as products, and collaborate with product managers, data scientists, and regional partners to deliver end-to-end data projects.

You will contribute to data mesh adoption, uphold privacy-by-design principles, and help raise data literacy across the engineering