Data Quality Engineer (AI)

TL;DR

Data Quality Engineer (AI): Building and optimizing automated test systems for hirify.global’s and Redjack’s integrated Data/ML pipelines with an accent on integrity, reliability, and scaling automated data quality checks across hybrid data environments. Focus on ensuring smooth integration, testing network sensor deployments, and embedding data validation and testing into CI/CD pipelines to safeguard model and product reliability.

Location: Hybrid (Alicante, Spain or Rome, Italy)

Company

hirify.global is a Technology Asset Intelligence platform transforming raw asset data into trusted, actionable insights for hardware, software, cloud, IoT, and OT.

What you will do

• Implement test frameworks across integrated infrastructure (RedJack with hirify.global) and combined data pipelines (ML and analytics).
• Automate e2e & regression testing within CI/CD pipelines.
• Participate in test planning and cross-team QA efforts for data products.
• Maintain and write e2e automated test scripts, deploying and testing Network sensors to various platforms and IT environments.
• Set up monitoring dashboards, alerts, and anomaly detection pipelines for proactive issue management.
• Design and implement automated data quality test plans for structured and unstructured data within ML pipelines.

Requirements

• 4+ years in Quality Engineering, Data Quality, or ML Test Automation roles.
• Strong proficiency in Python and SQL for building validation and monitoring tools.
• Skilled in automating tests within CI/CD pipelines (e.g., Airflow, Kubeflow, Github Actions).
• Experience with data quality frameworks (e.g., Great Expectations, dbt, Apache Deequ).
• Experience in testing distributed systems (API validation, Kafka).
• Experience with cloud-based data infrastructure (Snowflake, BigQuery, AWS S3).

Nice to have

• Experience with Rust.
• Familiarity with mocking libraries (Mockito, mountebank).
• Familiarity with Docker & Kubernetes.
• Familiarity with Networking concepts.
• Experience in AWS, GCP, and Azure.

Culture & Benefits

• Competitive salary and comprehensive benefits (health insurance, meal vouchers, pension plan, company car, phone subscription).
• Career growth and learning opportunities within a fast-scaling SaaS company.
• Flexibility in working hours and hybrid work options.
• Engaging company culture with team events and international collaboration.
• Values: One Team, We Care, We Grow, We Deliver.