FYLD

Data engineer in cloud systems

In short

This is a middle-level Data Engineer role at Fyld, a Portuguese consulting company, based onsite in Lisbon. The job involves designing and building scalable data solutions on AWS using tools like Glue, EMR, Athena, Redshift, Kinesis and S3, along with Apache Spark/PySpark, SQL, Python, ETL/ELT processes and CI/CD pipelines. Fluency in English and at least 2 years of relevant experience are required.

About Fyld
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.
Requirements
•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
Nice to have
•Experience with Apache Airflow or similar workflow orchestration tools is valued
•Familiarity with AWS Lake Formation, Lambda and Infrastructure as Code is a plus
•AWS Certified Data Engineer, AWS Certified Data Analytics or similar certifications are valued
Conditions
•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

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