kpler - Senior Data Engineer
Requirements
• Data engineering experience at scale: 5+ years of experience designing, operating, and owning production-grade data pipelines and infrastructure. • Core tech stack depth: Strong Python skills with hands-on experience in Docker, Kubernetes, AWS, Airflow, and relational databases like PostgreSQL. • Streaming, IaC, and observability: Practical experience with event streaming (Kafka/Flink), Infrastructure as Code (Terraform), CI/CD practices, and production logging/monitoring systems. • Technical leadership & AI coding tools: Demonstrated ability to lead architectural discussions, mentor engineers, and leverage AI-assisted coding tools (Copilot, Cursor, Claude) with strong technical judgment. • Methodologies & communication: Experience working in Agile environments with strong collaboration skills and fluency in written and spoken English. • Large-scale analytics platforms: Experience building large-scale data processing systems or analytics platforms. • Cross-team initiatives: Track record of leading technical initiatives across multiple teams. • Domain knowledge: Familiarity with commodities, shipping, energy, or marine insurance market data. • We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us? • We make things happen • We act decisively and with purpose, going the extra mile. • We build together • We foster relationships and develop creative solutions to address market challenges. • We are here to help • We are accessible and supportive to colleagues and clients with a friendly approach. • Our People Pledge • Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Responsibilities
• Design and own end-to-end data pipelines: Build, deploy, and operate production-grade data pipelines and infrastructure from initial architecture through deployment, monitoring, and maintenance. • Deploy containerized AWS services: Develop and containerize applications within AWS using Python, Docker, Kubernetes, Airflow, and Infrastructure as Code (Terraform). • Ensure data integrity and event streaming: Architect robust PostgreSQL database structures and event-streaming flows (Kafka/Flink) to guarantee seamless data flow and integrity. • Set technical direction and standards: Lead complex pipeline design, peer reviews, and logging, monitoring, and alerting frameworks to maintain pipeline resilience. • Partner cross-functionally and mentor peers: Collaborate closely with engineers, product managers, and data scientists while mentoring engineers to elevate team craft and technical development. • Evaluate emerging data tools: Research and implement modern data infrastructure improvements and frameworks to continuously elevate Kpler's platform capabilities.
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