DATA ENGINEER / PYTHON – ETL (HYBRID)

DATA ENGINEER / PYTHON – ETL (HYBRID LISBON or PORTO)

Portuguese company seeking a Data Engineer for a hybrid position in Lisbon or Porto, Portugal.

Job Details

• Hybrid work location: Lisbon or Porto
• Must already live in Portugal
• Fluent in English
• Experience: 3–6 years
• Sector: Banking

Role Overview

We are looking for a Data Engineer with hands‑on experience in Python and ETL processes to join a dynamic, fast‑paced data engineering team. The team’s mission is to deliver high‑quality, data‑driven tools that empower internal business users, streamline workflows, and support complex analytical needs. This position offers an opportunity to work across all stages of data processing—from ingestion and transformation to visualization—while contributing to continuous improvement and automation.

Key Responsibilities

• Design, develop, and maintain efficient ETL pipelines and data solutions to meet business and technical requirements.
• Collaborate with business stakeholders to understand needs, define data requirements, and deliver actionable insights.
• Work on data feeds industrialization, data warehousing, and data visualization initiatives.
• Contribute to process automation and optimize existing data workflows for scalability and performance.
• Ensure data integrity, quality, and compliance with internal best practices and governance standards.
• Participate in continuous improvement efforts, identifying opportunities to enhance data reliability and delivery efficiency.

Required Skills & Experience

• 3+ years of experience as a Data Engineer or in a similar role.
• Strong programming experience with Python and Py
  Spark.
• Proven track record in designing and implementing ETL pipelines.
• Hands‑on experience with SQL and database management principles.
• Experience building and designing Power BI dashboards.
• Solid understanding of data processing and visualization concepts.
• Ability to analyze business requirements and translate them into scalable data solutions.

Language Requirements

• Fluent in English (mandatory)

Soft Skills

• Excellent communication and team collaboration skills.
• Strong problem‑solving and analytical thinking abilities.
• Proactive and detail‑oriented, with a focus on data quality and delivery accuracy.
• Curious, adaptable, and eager to explore new tools and technologies.

Keywords

• Data Engineer
• Python
• Py
  Spark
• ETL
• SQL
• Power BI
• Data Pipeline
• Data Warehouse
• Data Processing
• Automation
• BI Development
• Porto
• Lisbon
• Hybrid