Data engineer in cloud systems

Fyld; Lisboa; On-site; EUR 45,000 - 65,000; Full time

Job summary

Fyld, a Portuguese consulting company, seeks an experienced Data Engineer to build scalable data solutions on AWS. You will design ETL/ELT pipelines using AWS Glue, EMR, Athena, Redshift, Kinesis and S3, and apply Spark/PySpark to large datasets. Strong SQL and Python skills and fluency in English are essential for cross-functional collaboration.

Join a culture of transparency, respect and continuous training, with challenging projects where your talent has real impact and room to grow.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering or related fields
• Experience designing and developing scalable data solutions on AWS
• Strong knowledge of AWS Glue, EMR, Athena, Redshift, Kinesis and Amazon S3
• Experience with Apache Spark and PySpark
• Strong SQL and Python skills
• Knowledge of ETL/ELT processes, data lakes, data warehouses and modern data architectures
• Experience with Git and CI/CD pipelines
• Fluency in English

Skills

SQL

Python

Education

Bachelor's degree in Computer Science, Software Engineering, Data Engineering or related fields

Tools

AWS

Apache Spark

PySpark

Git

CI/CD

AWS Glue

EMR

Athena

Redshift

Kinesis

S3

Job description

At Fyld, we believe the future is built with people, technology, and strong values. We are a Portuguese consulting company that operates with transparency, respect, and a focus on everyone's growth. Here, every project is an opportunity to build real, lasting, and scalable solutions. Our philosophy? Code for Big Solutions — because we don't just code to make things work, we code to transform. We're looking for an experienced Data Engineer with technical rigor and a strong desire to make an impact.

• Bachelor's degree in Computer Science, Software Engineering, Data Engineering or related fields
• Experience designing and developing scalable data solutions on AWS
• Strong knowledge of AWS Glue, EMR, Athena, Redshift, Kinesis and Amazon S3
• Experience with Apache Spark and PySpark
• Strong SQL and Python skills
• Knowledge of ETL/ELT processes, data lakes, data warehouses and modern data architectures
• Experience with Git and CI/CD pipelines
• Fluency in English
• A collaborative team that values individual progress
• Access to continuous training and certifications
• A culture of proximity, respect, and recognition
• Challenging, purpose-driven projects where your talent as a Data Engineer has real impact
• High standards, professionalism, and dedication — everything else can be learned