Remote Data Engineer — Scalable GCP Data Pipelines

Empa-T; Portugal; Remote; EUR 50,000 - 75,000; Full time

Job summary

Empa-T in Portugal is seeking an experienced Data Engineer to join an international project focused on building scalable data platforms in the Google Cloud Platform (GCP) ecosystem.

You will design and maintain data pipelines, ensure data quality and governance, collaborate with architects, scientists, analysts, and stakeholders, and apply CI/CD and DevOps practices in an Agile environment.

Qualifications

• Minimum 5 years of professional experience in Data Engineering.
• Hands-on experience with Google Cloud Platform (GCP) services and data tooling.
• Strong SQL and data modelling knowledge.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data solutions using Google Cloud Platform services.
• Develop and maintain data ingestion frameworks for structured and unstructured data.
• Ensure data quality, integrity, security, and governance across the platform.
• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
• Optimize data processing performance and cost efficiency within cloud environments.
• Implement monitoring, alerting, and troubleshooting mechanisms for data workloads.
• Support Data Science and Analytics teams by delivering reliable and high-quality datasets.
• Participate in architecture discussions and contribute to the evolution of the data platform.
• Apply best practices regarding CI/CD, DevOps, and Infrastructure as Code for data solutions.
• Contribute to continuous improvement initiatives, knowledge sharing, and technical documentation.
• Work within Agile delivery teams following modern software development practices.

Skills

5+ years

Data Engineering

GCP

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Cloud Functions

SQL

Python

ETL/ELT

Data warehousing

CI/CD

Git

Agile

Collaboration

Problem solving

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Composer (Airflow)

Cloud Functions

Job description

Empa-T in Portugal is seeking an experienced Data Engineer to join an international project focused on building scalable data platforms in the Google Cloud Platform (GCP) ecosystem.

You will design and maintain data pipelines, ensure data quality and governance, collaborate with architects, scientists, analysts, and stakeholders, and apply CI/CD and DevOps practices in an Agile environment.