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About Indicium AI Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy…
The Data Engineer Consultant builds and deploys production data pipelines for enterprise clients, modernizing legacy setups into cloud‑native lakehouses using Databricks, PySpark, dbt, SQL, and Terraform, and orchestrates workflows with Airflow.
The Forward Deployed Data Engineer works on-site in Houston, leading data lakehouse modernization for financial services and healthcare clients using Databricks, PySpark, SQL, dbt, Terraform, and integrating LLM workflows, while acting as technical lead and communicating with executives.
Leads data/AI consulting engagements in financial services, turning client needs into executable project plans and overseeing delivery teams to meet revenue targets.
About Indicium AI Indicium AI was Anthropic’s first European launch partner, a Preferred Anthropic Partner, and sits among a handful of organizations globally trusted to deploy Claude at an enterprise scale. Named the…
Build and deploy enterprise-grade AI agent systems using Databricks, MCP, and Anthropic Claude, integrating multi-agent frameworks with complex data estates for regulated industries.
Principal Data Engineer designs enterprise-grade data models and semantic architectures for AI-ready systems, leading teams to build scalable, compliant data products for clients in finance, healthcare, and other sectors.
The Associate Data Engineer will join a global AI consultancy to design and develop scalable ELT data pipelines and storage solutions for enterprise clients. The role involves working with Python, SQL, and cloud platforms while collaborating with cross-functional teams to deliver data-driven outcomes.
The Principal Software Engineer will architect and lead the delivery of high-performance, real-time data and AI solutions for energy and commodities trading clients. This hands-on role involves designing low-latency systems, mentoring engineering teams, and collaborating with client stakeholders to drive technical strategy.
Leads AI data platform architecture and engineering for enterprise clients, designing scalable data warehouses/lakes, optimizing pipelines, and mentoring teams while advising clients on technical and business strategy.
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