Data Automation Engineer, Kraken

• Proficiency in Cloud DevOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and containerization
• Strong knowledge of Cloud Security, including Identity and Access Management (IAM), confidentiality, integrity, and availability (CIA) best practices, as well as telemetry and logging
• Expertise in data workflow engineering, including ETL/ELT processes, orchestration, scheduling, error handling and scalability
• Adherence to software engineering best practices, such as code testing and review, change and incident management (CHG/INC), reusability, thorough documentation, and experience with APIs and command-line interfaces (CLI)
• Proficiency in at least one programming language, such as Python, Go, or TypeScript (compiled languages not required)
• Strong understanding of integration patterns such as APIs, webhooks, and event-driven architectures
• Strong communication skills for effective collaboration with stakeholders
• Initiative to identify opportunities and proactively address challenges
• Critical thinking abilities to analyze complex problems and develop actionable solutions

Desirable

• We are seeking a talented Data Automation Engineer to join our dynamic team
• In this role, you will work closely with Finance and other stakeholders to develop, optimize, and maintain robust data pipelines that support critical business operations
• You will have the opportunity to contribute to the transformation of our architecture, ensuring it is efficient, secure, and compliant, while also exploring broader data automation initiatives across the organization
• Supporting Finance stakeholders with setting and maintaining the data pipelines used to process payments and provide reporting
• Participating to the team architecture overhaul to enhance efficiency, security and compliance of the underlying infrastructure
• Lead efforts to optimize and automate data integration processes, minimizing manual intervention and maximizing efficiency
• Optimizing data pipeline to ensure data processing without errors, ensuring integrity, supporting velocity and continuously improving
• Identifying opportunities to best provide values to the team's stakeholders by maintaining good communication, and acquiring business knowledge of the financial data processed for our core use cases
• Participating to additional data automation opportunities, within a wide range of topics, including but not limited to: IT Asset Management, GRC to HR, Legal and ERP systems
• Supporting documentation of code, infrastructure and use cases