DATA ENGINEER (HYBRID)

DATA ENGINEER (HYBRID LISBON)

Portuguese company hires for hybrid position

📍 Location: Lisbon, Portugal

⚠️ Only candidates already based in Portugal will be considered

💼 Work Model: Hybrid

🗣️ Language Requirements: English C1 (mandatory); French and Portuguese notions

🕓 Seniority: Mid-level (4+ years)

🏭 Sector: Banking

💲Rate Between €3000 - 3300 RV / €1800 - 2100 CTI (gross value)

⚠️ Instructions: Please send your CV in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.

About The Opportunity

We are looking for an experienced Data Engineer to join a project in the banking sector, focusing on data engineering, ETL/ELT pipelines, data modelling, and risk analytics.

The professional will contribute to the development and optimization of scalable data solutions, supporting financial risk reporting, data integration, and automation initiatives.

A significant part of the role will involve supporting a cross-functional modelling and simulation platform, ensuring efficient data processing, code quality, and reliable deployment.

Responsibilities

• Design, develop, and optimize high-performance ETL/ELT data pipelines.
• Develop and maintain data models, schemas, and scalable data architectures.
• Implement CI/CD pipelines to automate workflows and application deployments.
• Develop, transform, and optimize code using Python, PySpark, and SQL.
• Support development teams with coding, troubleshooting, and performance optimization.
• Ensure operational reliability, maintenance, and continuous improvement of data solutions.
• Provide technical support to Dataiku users, promoting best practices.
• Collaborate with stakeholders and provide technical guidance to junior team members.
  
  

Requirements

• Relevant professional experience as a Data Engineer.
• Strong knowledge of ETL/ELT processes and data integration.
• Proficiency in SQL.
• Proficiency in Python and/or PySpark.
• Experience with CDP or HDP architecture.
• Knowledge of CI/CD pipelines, data modelling, and code optimization.
• Bachelor's degree in Information Technology, Computer Science, Business Intelligence, or a related field.
• English C1 (mandatory).
• Proficiency in Microsoft Office tools.
  
  

Nice to Have

• Experience with Dataiku, SAS, or Apache NiFi.
• Knowledge of Agile methodologies and Jira.
• Previous experience in the banking sector.
• Understanding of credit risk and financial risk reporting.
• Basic knowledge of French and Portuguese.
  
  

Ideal Candidate Profile

A mid-level Data Engineer with strong analytical and problem-solving skills, experienced in SQL, Python/PySpark, ETL/ELT pipelines, and modern data architectures.

The ideal candidate is proactive, detail-oriented, and comfortable working with cross-functional teams in a demanding financial environment, ensuring high-quality data solutions and efficient delivery.

5 Questions for Candidates

• How many years of professional experience do you have as a Data Engineer?
• Do you have hands-on experience developing ETL/ELT pipelines using SQL, Python, or PySpark?
• Have you worked with CDP or HDP architectures? In which projects?
• Do you have experience with Dataiku, SAS, Apache NiFi, or data engineering projects in the banking sector?
• Are you available to start on January 1, 2027, and are your salary expectations aligned with €3000–€3320 RV/Unipessoal or €2120 gross under CTI?
  
  

Keywords

Data Engineer, SQL, Python, PySpark, ETL, ELT, Data Integration, Data Pipelines, CDP, HDP, Dataiku, SAS, Apache NiFi, CI/CD, Data Modelling, Data Architecture, Risk Analytics, Credit Risk, Banking, Agile, Jira, Lisbon

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