Staff Platform Data Engineer (AI)

TL;DR

Staff Platform Data Engineer (AI): Designing, building, and operating robust data platform infrastructure with an accent on automation, scalability, and reliability. Focus on implementing AWS integrations, orchestrating complex data workflows, and driving innovation in data platform architecture to support AI and machine learning initiatives.

Location: Hybrid (requires two days in office per week).

What you will do

• Design, build, and operate scalable data platform infrastructure.
• Automate end-to-end data models and orchestrate workflows using pipelines.
• Develop and maintain infrastructure using Terraform and Python.
• Collaborate on architecting analytical solutions and ensuring platform reliability.
• Implement AWS integrations for efficient data ingestion and protection.
• Operate Kubernetes workloads to support data-intensive applications.

Requirements

• Proven experience in building and managing data platform infrastructure.
• Strong proficiency in Python and SQL for data engineering tasks.
• Hands-on experience with AWS, Kubernetes, and Infrastructure as Code (Terraform).
• Experience with data orchestration tools like Apache Airflow and modeling tools like dbt.
• Ability to collaborate effectively in an Agile environment.
• Must be able to work from the office two days per week.

Culture & Benefits

• Flexible work hours and hybrid work policy.
• Private health insurance and meal allowance.
• Coverflex allowance and discounts on services.
• Opportunities for continuous learning through dedicated events.
• Paid time off and a dedicated volunteer day.