Data Engineer (Data Ops)

TL;DR

Data Engineer (Data Ops): Building and operating scalable infrastructure for Data, Machine Learning, and Analytics with an accent on reliable batch and real-time data pipelines. Focus on deploying ML models to production, optimizing Lakehouse storage, and developing data processing services for predictive analytics.

Location: Remote in Portugal, or Hybrid/Office in Coimbra. Must be available to work in the Coimbra office once a month.

Salary: €35,000–€45,000 gross annually

Company

hirify.global is a leading real-time predictive fleet maintenance platform utilizing AI to prevent breakdowns and optimize transportation operations globally.

What you will do

• Design, build, and maintain batch and real-time data pipelines.
• Set up and operate infrastructure for Machine Learning and Analytics.
• Collaborate with Data Scientists to deploy, monitor, and maintain models in production.
• Develop internal tools and services for data ingestion, transformation, and validation.
• Implement comprehensive monitoring, logging, and alerting for data systems.

Requirements

• Degree in Computer Science, Software Engineering, or a related field.
• 3+ years of experience as a Data Engineer or Software Engineer.
• Strong experience with Linux-based systems, Docker, and Kubernetes.
• Expertise in distributed data processing (Spark, Trino, Flink, Kafka) and open table formats (Delta, Iceberg).
• Proficiency in Python and SQL for data modeling and BI use cases.
• Fluency in English.

Nice to have

• Understanding of JVM-based systems, particularly for Spark.
• Experience with hybrid environments (AWS and on-prem).
• Familiarity with CI/CD practices for data and ML systems.
• Experience with MLOps or model lifecycle management.

Culture & Benefits

• Health insurance for employees and their children.
• Flexible work hours to adjust the schedule to your needs.
• 22 vacation days, with additional time off based on tenure.
• Hardware and software provided for a full remote setup.
• Autonomy, ownership culture, and a continuous feedback environment.

Hiring process

• Screening call with HR.
• First interview with HR and the Hiring Manager.
• Take-home code test followed by a technical deep-dive interview.
• Cultural Fit interview with the Head of People and Hiring Manager.