Senior Data Engineer
About the Role
As a Senior Data Engineer joining our new Marine Insurance initiative, you will play a central role in shapin g the systems that power Kpler’s global market intelligence platform . You will lead the end-to-end design and delivery of complex data pipelines and cloud infrastructure, ingesting, processing, and serving large-scale data to our global customers . Acting as a technical leader, you will set data architecture directions and mentor peer engineers, ensuring our platform reliably scales as our datasets and product offerings expand .
Key Responsibilities
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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 .
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Deploy containerized AWS services: Develop and containerize applications within AWS using Python, Docker, Kubernetes, Airflow, and Infrastructure as Code (Terraform) .
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Ensure data integrity and event streaming: Architect robust PostgreSQL database structures and event-streaming flows (Kafka/Flink) to guarantee seamless data flow and integrity .
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Set technical direction and standards: Lead complex pipeline design, peer reviews, and logging, monitoring, and alerting frameworks to maintain pipeline resilience .
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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 .
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Evaluate emerging data tools: Research and implement modern data infrastructure improvements and frameworks to continuously elevate Kpler's platform capabilities .
Experience & Background
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Data engineering experience at scale: 5+ years of experience designing, operating, and owning production-grade data pipelines and infrastructure .
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Core tech stack depth: Strong Python skills with hands-on experience in Docker, Kubernetes, AWS, Airflow, and relational databases like PostgreSQL .
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Streaming, IaC, and observability: Practical experience with event streaming (Kafka/Flink), Infrastructure as Code (Terraform), CI/CD practices, and production logging/monitoring systems .
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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 .
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Methodologies & communication: Experience working in Agile environments with strong collaboration skills and fluency in written and spoken English .
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Large-scale analytics platforms: Experience building large-scale data processing systems or analytics platforms .
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Cross-team initiatives: Track record of leading technical initiatives across multiple teams .
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Domain knowledge: Familiarity with commodities, shipping, energy, or marine insurance market data .
What you'll need (Must-haves)
Nice-to-haves
Source: the employer's careers page. Last checked 2026-10-03. Posted 2026-10-02.