Data Engineer

Fyld; Lisboa; Hybrid; EUR 40,000 - 65,000; Full time

Job summary

Fyld, a Portuguese consulting company, seeks Senior & Mid-Level Data Engineers to design, evolve, and maintain a robust corporate data ecosystem on modern cloud data architectures, ETL/ELT pipelines, and advanced analytics platforms. We offer a hybrid work model with 1 day per week in the office, focusing on data governance and security.

Ideal candidates have 3–8 years in data engineering, strong analytical skills, and fluency in Portuguese with advanced English.

Qualifications

• 3–8 years of professional experience in Data Engineering roles.
• Strong analytical and problem-solving skills, autonomy, focus on data quality, security and governance standards.
• Native level in Portuguese, advanced English communication.

Skills

Data engineering

Analytical thinking

Autonomy

Data governance

Portuguese/English communication

Tools

Power BI

REST APIs

Docker

CI/CD

Machine learning concepts

Job description

Senior & Mid-Level Data Engineers, this one is for you | Azure Data Factory, Databricks & Cloud Platform

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. We don't just build data pipelines; we transform raw data into high-value corporate insights.

Are you passionate about modern cloud data architectures, ETL/ELT pipelines, and advanced analytics platforms? We are looking for Data Engineers to design, evolve, and maintain a robust corporate data ecosystem!

• Architecture & Governance: Data Lakes, Lakehouses, Data Warehouses, Data Governance, Purview, Git
• Bonus / Nice to Have: Power BI, REST/SOAP APIs, Docker, CI/CD, Machine Learning concepts

What We're Looking For:

• Experience: From 3 to 8 years of professional experience in Data Engineering roles.
• Mindset: Strong analytical and problem-solving skills, autonomy, focus on data quality, security, and governance standards.
• Communication: Native level in Portuguese, advanced English.

Work Setup:

Hybrid Model: 1 day/week at the office.