Senior Data Engineer - Porto

Alpineo Consulting; Porto; Híbrido; EUR 65 000 - 90 000; Tempo integral

Resumo da oferta

Euronext in Porto is looking for a skilled Data Engineer to join our cloud-native data platform team. You will design, develop, and optimize data pipelines supporting critical financial systems. The role is Hybrid, combining on-site collaboration with flexibility in an international environment.

You will work with AWS, Python, PySpark, Airflow, and SQL, ensuring data quality and performance. You will collaborate in Agile teams within 5-week sprints and contribute to scalable solutions across

Qualificações

• Minimum of 7 years of data engineering experience.
• Experience designing and maintaining scalable data pipelines on AWS.
• Proficient in Python and PySpark.
• Strong SQL and data warehousing skills.
• Experience with Airflow in ETL/ELT workflows.
• Familiarity with Agile/Scrum environments.

Responsabilidades

• Design, build, and maintain scalable data pipelines on AWS.
• Develop and optimize ETL/ELT workflows using Airflow.
• Process and transform large datasets using Python and PySpark.
• Write efficient and complex SQL queries.
• Collaborate within Agile teams in 5-week sprints.
• Ensure data quality, performance, and reliability across systems.

Conhecimentos

AWS

Python

PySpark

SQL

Airflow

Agile/Scrum

Ferramentas

AWS Lambda

Descrição da oferta de emprego

About the Role

Euronext is looking for a skilled Data Engineer to join our Porto-based team. You will work on large-scale data platforms in a cloud-native environment, contributing to the design, development, and optimization of data pipelines supporting critical financial systems.

This role offers a hybrid working model, combining on-site collaboration with flexibility, in a dynamic international environment.

Key Responsibilities

Minimum of 7 years of experience

Design, build, and maintain scalable data pipelines on AWS

Develop and optimize ETL/ELT workflows using Airflow

Process and transform large datasets using Python and PySpark

Work with AWS Lambdas and other AWS services to support data workflows

Write efficient and complex queries using SQL

Collaborate within Agile teams working in 5-week sprint cycles

Ensure data quality, performance, and reliability across systems

Work closely with cross-functional teams in an international environment

Required Skills & Experience

Strong experience with AWS

Hands-on experience with Blues, Lambdas, and Airflow

Proficiency in Python and PySpark

Advanced SQL skills

Experience working in Agile/Scrum environments