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Maintains and improves vessel particulars datasets by researching and validating maritime data, identifying anomalies and gaps, automating data workflows with SQL and Python, developing quality dashboards, supporting data-source integration, and resolving data issues. The role collaborates with product, engineering, market analysts, and data management teams to strengthen data accuracy, consistency, coverage, and pipeline reliability.

Own and improve maritime company and vessel ownership datasets. Research, validate, cleanse, and enrich large datasets using SQL and Python; identify anomalies and data gaps; develop quality checks, dashboards, and reports; integrate data sources; resolve issues; document business rules; and collaborate with Product, Engineering, Market Analysts, and data teams to improve platform capabilities.

Manage a portfolio of Financial Services accounts across EMEA, driving retention and revenue growth through upselling and cross-selling. Own the full expansion sales cycle, including discovery, proposals, negotiations, and closing. Maintain forecasts and CRM records, support client planning and reporting, gather market feedback, and collaborate with Sales, Product, Analysts, and Customer Success. Travel as needed and represent Kpler professionally.

Generate outbound and inbound sales opportunities across APAC for Kpler’s financial product suite. Conduct market research, identify target accounts, qualify prospects using BANT, and create tailored sales messaging. Collaborate with sales, commercial, and account management teams to build pipeline, monitor market developments, and maintain accurate Salesforce records. The role targets financial institutions and requires strong communication, prospecting, commercial, and organizational skills in a B2B technology environment.

Own and optimize high-throughput batch and streaming data pipelines, distributed Apache HBase storage, and production infrastructure for maritime telemetry and predictive analytics. Operate containerized AWS environments using Kubernetes, Docker, Terraform, and GitOps; establish reliability metrics and operational SLAs. Collaborate with data science, product, and SRE teams, mentor engineers, and promote strong code review and AI-assisted development practices.

Design, develop, deploy, and scale full-stack web applications and backend APIs for real-time maritime trade intelligence. Build TypeScript frontends, Python services, REST and GraphQL APIs, and optimize SQL and NoSQL databases. Manage AWS infrastructure, Docker deployments, CI/CD, observability, testing, and system performance. Collaborate with Product, Data Engineering, and SRE teams to deliver scalable solutions and use AI-assisted development tools to improve engineering velocity.

Owns the architecture, development, and optimization of high-throughput batch and streaming data pipelines supporting maritime trade intelligence. Responsibilities include using Python, Spark, Kafka, and Airflow; managing AWS infrastructure with Terraform and Docker; ensuring data quality, reliability, monitoring, and SLA performance; optimizing costs; and collaborating with Product, SRE, Platform Engineering, and Data Science teams.

Manage and grow strategic commodities accounts across the Middle East and Africa by identifying expansion opportunities, negotiating renewals, providing commercial guidance, and maintaining accurate Salesforce pipelines. Gather market and competitor insights to inform product strategy, collaborate with Customer Success, Marketing, Product, and Sales Operations, and consistently achieve sales growth targets through proactive account planning and relationship management.

Own the full sales cycle for new maritime-sector SaaS customers across EMEA, from outbound prospecting and opportunity development through product demonstrations and closing. Build multi-threaded relationships with VP and C-level economic buyers, manage strategic deals, maintain accurate forecasts, collaborate with Sales, Product, and Market Analysts, and consistently achieve quota.

Design, build, and operate distributed platform subsystems that combine streaming pipeline, rail, waterway, and maritime data. Lead architecture, observability, SLOs, incident response, data quality, and production operations. Collaborate with platform teams and customers, shape product roadmaps, and mentor engineers. The role emphasizes Python backend development, Kafka-based ingestion, AWS infrastructure, and contributions to TypeScript/Vue applications.