Data Engineer (Hybrid)

InnoWave; Lisboa; Presencial; EUR 35 000 - 55 000; Tempo integral

Resumo da oferta

A technology services company in Lisbon is seeking a Mid Data Engineer to design, develop, and optimize data pipelines in Google Cloud Platform. The ideal candidate will work closely with data scientists and business stakeholders, ensuring data quality and providing actionable insights. Requires expertise in GCP services and strong programming skills in Python and SQL. This role offers a collaborative environment and opportunities for professional growth.

Qualificações

• At least 2 years of professional experience in data engineering roles.
• Hands-on expertise with GCP data services.
• Strong problem-solving and analytical thinking.

Responsabilidades

• Design, build, and maintain ETL/ELT pipelines in GCP.
• Implement and optimize data models and workflows.
• Collaborate with cross-functional teams to deliver business-ready datasets.

Conhecimentos

Google Cloud Platform

Python

SQL

Data Orchestration Tools

Data Modeling

CI/CD

DevOps Practices

Formação académica

Bachelor's degree in Computer Science

Ferramentas

BigQuery

Dataflow

Pub/Sub

Terraform

Descrição da oferta de emprego

Overview

We are seeking a Mid Data Engineer with experience in Google Cloud Platform (GCP) to join our team in Lisbon. The ideal candidate will design, develop, and optimize data pipelines, ensuring secure, reliable, and scalable data processing across our cloud environment. This role involves close collaboration with data analysts, data scientists, and business stakeholders to transform raw data into actionable insights.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines and data workflows in GCP.
• Work with services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer (Airflow), and Vertex AI (optional).
• Implement and optimize data models, data lakes, and data warehouses.
• Ensure data quality, integrity, and security in all pipelines.
• Collaborate with cross-functional teams (Data Scientists, Analysts, Product Managers) to deliver business-ready datasets.
• Monitor, troubleshoot, and optimize performance of pipelines and queries.
• Support CI/CD for data infrastructure and participate in code reviews.

Skills

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
• At least 2 years of professional experience in data engineering roles.
• Hands-on expertise with GCP data services (BigQuery, Dataflow, Pub/Sub, etc.)
• Strong programming skills in Python, SQL.
• Experience with data orchestration tools.
• Good understanding of data modeling, database design, and warehouse/lakehouse principles.
• Knowledge with CI/CD practices and version control (Git).
• GCP Professional Data Engineer certification (or Associate Cloud Engineer) (good to have).
• Experience with real-time streaming pipelines (Pub/Sub, Kafka) is a plus.
• Exposure to DevOps practices and Infrastructure-as-Code (Terraform, Cloud Deployment Manager) (good to have).
• Knowledge of machine learning pipelines or MLOps is a plus.
• Strong problem-solving and analytical thinking.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Team player with collaborative mindset and willingness to learn.

InnoWave gives equal opportunity in employment regardless of gender, gender identity, sexual orientation, marital status, race, nationality, religion, age, disability, political beliefs, or any other factor. InnoWave will not pay fees to any third-party agency or company that does not have a signed agreement, do not submit resumes/CV's directly.

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