Senior Data Engineer - Product (Fintech)

Location: Remote from Portugal

Company

hirify.global develops AI-driven financial crime prevention technology that helps financial institutions detect fraud and money laundering in real time.

What you will do

• Design and build large-scale distributed data processing systems and self-service data platform tooling.
• Maintain, monitor, and scale mission-critical data pipelines and high-throughput platform components.
• Operate highly available, multi-tenant cloud services on Kubernetes from design through incident response.
• Review and optimize pipeline and infrastructure code for performance, reliability, security, and architectural consistency.
• Collaborate with backend engineering, product management, data science, and research teams on product and platform initiatives.
• Mentor engineers and lead small groups delivering complex features end to end.

Requirements

• 5+ years of experience building and operating distributed data-driven systems.
• BSc/MSc in Computer Science or equivalent technical background.
• Strong programming skills in Java and/or Python, including distributed backend applications, Quarkus services, or Spark jobs.
• Experience with Linux-based cloud infrastructure, API design, distributed batch processing, messaging systems, and data storage architectures.
• Experience operating services in continuous delivery environments with a you-build-it-you-run-it ownership model.
• Ability to solve complex architectural problems independently and communicate technical trade-offs clearly.

Nice to have

• Experience with Data Platform or Data Infrastructure initiatives.
• Hands-on experience with Kubernetes, Apache Spark, Trino, Apache Iceberg, Nessie, Apache Airflow, Kafka, AWS S3/Glue, Snowflake, or Quarkus.
• Experience building multi-tenant cloud services.
• Familiarity with JupyterHub or JupyterLab enterprise workflows.
• Contributions to open-source software projects.

Culture & Benefits

• Fast-paced, safe, open, and collaborative engineering environment.
• Continuous learning, onboarding training, manager support, and one-on-one sessions during the first 30 days.
• Opportunity to work virtually or onsite at an office depending on location.
• Equal opportunity workplace that values diversity.

Hiring process

• Initial onboarding includes training, team connections, manager meetings, and access to product and team context.
• Early work includes joining active projects and collaborating with colleagues.