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Senior Go-To-Market Analytics Engineer (AI & Pipelines)
Builds AI-powered go-to-market analytics pipelines at Databricks, leveraging Python, SQL, and CRM systems to drive data-driven sales strategies.
AI Solution Architect
Design and implement scalable AI systems for manufacturing, integrating predictive analytics, LLMs, and MLOps to optimize production flows and decision-making.
Senior Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines on AWS/Azure, set CI/CD standards, and mentor peers while integrating structured and unstructured data with Delta Lake and Unity Catalog.
Senior Backend Spark Developer
Build and optimize large-scale data pipelines using Apache Spark and Scala/Python to power financial IT systems, ensuring scalability and reliability for cross-country operations.
Data Engineer - Modern Data Pipelines & Insights (Hybrid)
Build and maintain scalable data pipelines and governance for a bank, transforming raw data into reliable assets using Databricks, Azure, and SQL tools.
Data Engineer - Data & Technology, SCD
Design and maintain scalable data pipelines and models (SQL, PySpark, Databricks) to unify IKEA’s supply-chain data for analytics and reporting across the business.
Director, Applied AI & Agentic Platform Engineering
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Managing Consultant - Data Science & AI (Hybrid & Learning)
Lead data-science engagements for enterprise clients, designing ML models and analytics solutions using Python, cloud platforms, and BI tools to extract business value from data.
Data Architect
Designs and refines data architecture for a climate-tech company’s enterprise data lakehouse, focusing on Databricks and governance best practices.
SC Cleared Principal Data Engineer – Inside IR 35 – Hybrid
Designs and builds secure, scalable cloud data pipelines and platforms using Azure/AWS/GCP, Databricks, and Spark to power analytics and AI workloads.
Data Architect
Designs and builds a modern Azure-based data platform, guiding ETL pipelines, Lakehouse/Data Lake solutions, and cloud-native architectures while staying hands-on with engineering teams.
Enterprise Data Architect
Leads the design of enterprise-scale data platforms, cloud solutions, and governance standards to modernize and secure the data landscape for a data-driven organization.
Data Architect
Designs and builds enterprise-scale cloud data platforms for UK insurance firms using AWS, Databricks, and MongoDB, ensuring regulatory compliance and scalable Lakehouse architectures.
EDW Data Architect
Design and modernize enterprise-scale data warehouses for financial institutions, focusing on Teradata and Microsoft Azure ecosystems, while ensuring regulatory compliance and governance.
Data Scientist
Build and deploy ML models (LightGBM, PyTorch) and pipelines for enterprise demand forecasting, integrating insights into Anaplan’s AI-driven planning platform.
Director, Applied AI & Agentic Platform Engineering
Lead the architecture and hands-on development of a next-gen agentic AI platform for banking workflows, integrating LLMs and multi-agent systems to automate processes and boost productivity.
Senior Manager, Data Science & AI, FSSR
Lead cloud-based AI and data-science modernization for the Bank of England’s financial-stability directorate, building LLM tools, dashboards, and automated pipelines to monitor risks and support policy decisions.
Senior AI/ML engineer
Build and scale Flo’s GenAI platform: LLM judges, fine-tuning pipelines, evaluation frameworks, and real-time personalization for a women’s health app used by 80M+ monthly users.
DevOps AI Platform Architecture - London, UK
Design and build scalable AI platforms using cloud services, Kubernetes, and MLOps pipelines to automate AI/ML deployment and monitoring for enterprise clients.
Lead Data Scientist - Workday Products
Lead a team to design and deliver AI/ML solutions for Workday products, including predictive analytics, anomaly detection, and generative AI integrations, while mentoring staff and managing client engagements.