Data Engineer (Cybersecurity)

TL;DR

Data Engineer: Reinforcing the Data team and transforming information into actionable insights with an accent on massive real-time processing. Focus on Spark environment implementation on Kubernetes, ensuring resilience and performance of the platform.

Location: Based in Paris.

Salary: €55,000–€60,000

Company

hirify.global transforms information into actionable insights for the entire company.

What you will do

• Design and implement the Spark environment on Kubernetes to process massive real-time data streams.
• Centralize and harmonize heterogeneous sources to make data accessible and reliable for all Sekoia teams.
• Develop, test, and orchestrate pipelines via Airflow.
• Propose innovative solutions to ensure the resilience and performance of our platform.
• Empower collaborators by providing the tools they need to leverage high-quality data independently.

Requirements

• You have 3 to 5 years of professional experience in Data Engineering or Python development with a strong focus on data processing.
• You are proficient in Python and Spark and have a solid understanding of Kubernetes environments.
• You are a proactive “doer” who takes ownership of subjects rather than waiting for instructions.
• You demonstrate a strong interest in Big Data challenges, especially in handling massive real-time data streams and high-availability infrastructures.
• You ensure code quality by following software engineering best practices, including Continuous Integration and automated testing.
• You write and speak English fluently.

Nice to have

• You have experience in cybersecurity.

Culture & Benefits

• Equal opportunity employer for any minority, disability, gender identity, or sexual orientation.
• Committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives.

Hiring process

• HR Interview with Chloë, RPO Senior Talent Acquisition (30’).
• Tech & Culture Fit with Sylvain, Data Ops, and Gildas, Head of Data (45’).
• Tech Interview with Sylvain, Data Ops (1h), and asynchronous Technical Test.
• Interview with Georges, CTO (60’).