Top Hybrid Data & Analytics Jobs

Design, build, and operate big-data and streaming platforms (Kafka, Hadoop, Dremio). Develop, deploy, and monitor data pipelines using Java, Python, Spark/Flink; collaborate on data modeling and ingestion, ensure data integrity and availability, act as a Big Data SME, and perform root-cause analysis.

Build and maintain dbt models and daily pipelines, monitor and triage ETL runs, develop Omni BI views, collaborate cross-functionally, and document data assets to enable data-driven decisions.

Lead design and optimization of data models and pipelines for compliance and risk; standardize metrics and documentation; build data quality, lineage, and monitoring (including AI agents for automation); manage ETL scheduling, on-call pipeline support, and collaborate with product and non-technical partners to translate business needs into automated, production-ready data solutions.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

Build and maintain internal data application tools and frameworks for a centralized cloud data lake. Collaborate with cross-functional teams and Data Engineers to add features and maintain Go-based data pipelines. Improve platform architecture for scalability, observability, and reliability while sharing knowledge and mentoring teammates.

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

Lead product analytics for new financial product initiatives: build business models, segment customers, create datamarts and dashboards, ensure data quality, design experiments, and surface insights using AI-enabled tooling to guide product decisions.

Develop and maintain a password-protected .AI dashboard that displays near-real-time KPIs from the Identity Digital Data Warehouse. Build a single-screen executive UI with drill-down toggles, integrate TLD metrics across growth, financial, technical, and security pillars, coordinate with RSP and stakeholders, and provide on-site presence in Anguilla plus occasional travel and emergency support.

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

Lead the vision, design, and development of customer-facing business intelligence dashboards and analytics solutions. Partner with clients and internal stakeholders to demonstrate product value, revenue, retention, and performance. Collaborate with product and engineering teams to deliver secure, scalable reporting experiences while contributing to cross-functional projects, data analysis, and stakeholder presentations.