TL;DR

Senior Data Engineer (Data Engineering): Designing, developing, and maintaining scalable data platforms and pipelines with an accent on ETL/ELT processes, cloud infrastructure, and data quality. Focus on optimizing end-to-end data processing solutions, collaborating with Data Scientists, and evaluating new technologies within an Agile Scrum framework.

Location: Hybrid Work (Porto, Portugal)

Company

%hirify_global%'s client is an international product company established for over 10 years, developing its own product portfolio in Accounting, Compliance, and Healthcare.

What you will do

Design, develop, and maintain scalable data platforms and data pipelines.
Collaborate with Data Scientists and ML Engineers to support analytics and model deployment workflows.
Implement and optimize ETL/ELT pipelines and end-to-end data processing solutions.
Build and manage cloud-based data infrastructure, preferably in AWS.
Ensure data quality, reliability, and observability through testing and best practices.
Contribute to the continuous improvement of internal processes, engineering practices, and performance optimization within an Agile Scrum framework.

Requirements

5+ years of experience as a Data Engineer.
Strong programming skills in Python.
Solid knowledge of SQL/NoSQL.
Experience with Spark, Kafka, and modern data processors.
Knowledge of frameworks like Airflow, dbt, Debezium, and Flink.
Hands-on experience with AWS Data Engineering services and Infrastructure as Code (preferably AWS CDK).
Experience building E2E data pipelines and ETL/ELT processes.
Experience working in Agile Scrum teams.
Fluent in English.

Culture & Benefits

Employment Contract.
Health Insurance.
Meal Card.
Gym Ticket.
Hybrid work environment (Porto, Portugal).