Feedzai

Feedzai provides an AI-powered platform designed to detect and prevent fraud and financial crime, including money laundering, by processing large volumes of data in real-time to ensure the safety of banking and commerce transactions.

Diversified Financial Services

Financials

251-1K (500)

Founded 2011

$278M raised

7 open positions

Links

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Senior Data Engineer - Product

6 hours, 4 minutes ago

Portugal

Full-time

Senior

Data Engineer

Software Development

Apache Airflow Apache Spark AWS CI/CD Java Jupyter Kafka Kubernetes Linux Machine Learning Microservices Python Snowflake Trino

Apply Now

Feedzai

Diversified Financial Services

251-1K

Founded 2011

$278M raised

View All Jobs 7

Description

Design and build large-scale distributed data processing systems from the ground up.
Build and operate self-service data platform features and tooling for internal product engineers.
Review, optimize, and approve pipeline and infrastructure code written by other teams.
Maintain, monitor, and scale mission-critical data pipelines and high-throughput components.
Operate highly available cloud services on Kubernetes with ownership from design through incident response.
Collaborate with backend engineers, product managers, data scientists, and researchers on platform and roadmap initiatives.
Apply AI tools to streamline projects and workflows, and suggest AI integrations for existing processes.
Mentor engineers and raise technical standards through design and code reviews.
Lead small groups to deliver complex features end to end.

Requirements

5+ years of experience building and operating distributed data-driven systems.
Bachelor's or Master's degree in Computer Science, or an equivalent technical background.
Strong coding fundamentals in Java and/or Python.
Experience developing distributed backend applications from scratch, such as Quarkus services or Spark jobs.
Hands-on experience operating Linux-based cloud infrastructure and designing clean APIs.
Experience developing, debugging, and tuning distributed batch processing, messaging systems, and data storage architectures.
Comfort working in continuous delivery environments with a you-build-it-you-run-it operating model.
Ability to solve complex architectural challenges independently and contribute new ideas.
Strong communication skills for explaining tradeoffs and decisions to technical and non-technical stakeholders.
Preferred: prior experience on Data Platform or Data Infrastructure initiatives.
Preferred: hands-on experience with Kubernetes, Apache Spark, Trino, Apache Iceberg, Nessie, Apache Airflow, Kafka, AWS (S3/Glue), Snowflake, and Quarkus.
Preferred: experience building multi-tenant cloud services.
Preferred: familiarity with JupyterHub or JupyterLab enterprise workflows.
Preferred: contributions to open-source software projects.

Benefits

Remote-friendly role (#LI-Remote).
Structured first 30 days with training, onboarding, and manager time.
Opportunity to shadow colleagues virtually or onsite depending on location.
Access to extensive company and team context during onboarding.
Equal opportunity employer with a commitment to diversity and inclusion.

Interested in this position?

Apply directly on the company website

Apply Now

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