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Python Software Developer | Risk Technology
Builds and maintains Python-based risk engines (PFE, Market Risk Limits, CVaR) using Pandas, PySpark and AWS, automating complex risk calculations and integrating data across Marex’s global commodity and financial markets platforms.
Senior Python Developer (Fast API)
Build and maintain Python microservices and shared libraries for an energy client using FastAPI, Azure Functions, and PySpark.
Sr Python Developer
Build Python backend services and data pipelines for trading and risk systems in investment banking, using libraries like Pandas and FastAPI.
Python Developer
Senior Python developer building backend systems for trading and risk management in investment banking, including data pipelines, APIs, and production support.
Python Developer
Builds Python backend services and React frontends that connect to Databricks SQL and Delta Lake, writing ETL pipelines with PySpark and optimizing cloud costs on Azure/AWS.
Senior Full Stack Developer (React, JavaScript & C#.NET)
Build full-stack financial apps using React and C# .NET Core, design scalable microservices, and deliver Power BI dashboards in a cloud-native Azure environment.
Senior Data Engineer
Design and maintain financial data pipelines using SQL, Python, PySpark, and Microsoft Fabric to support reserving, claims, and enterprise reporting at a major insurer.
Senior Staff Data Engineer
Lead the architecture and evolution of FloQast’s data platform, building scalable lakehouse pipelines with Apache Spark, Iceberg, Kafka, and AWS services to power analytics and product systems for 30,000+ tenants.
Databricks Data Engineer
Designs and maintains cloud-native data pipelines in Azure Databricks, converting legacy ETL logic into scalable PySpark/Delta Lake solutions while enabling AI/ML workflows and governance with Unity Catalog.
Databricks Data Engineer
Builds and configures a government Databricks workspace, designs data pipelines from enterprise systems, and implements Unity Catalog and MLflow for governance and ML workflows.
ML Ops Engineer - Clearance Required
Build and deploy AI/ML models and generative AI systems for government clients, focusing on scalable MLOps pipelines, cloud deployments, and integration with Army operations.
Senior Full Stack Engineer
Build a unified analytics web app in C#/.NET and Angular, integrating PowerBI and AI-assisted data chat, while migrating legacy reporting features into a scalable, multi-tenant microservices architecture.
Lead Data Scientist (Remote)
Lead a team building AI-driven models for marketing, audience targeting, and healthcare analytics at GoodRx, using Python, ML, and cloud platforms to optimize prescription savings and B2B offerings.
Data Engineer - Cloud/AI
Build and maintain cloud-based data pipelines and AI-ready architectures, ensuring clean, accessible data for analytics and Gen-AI projects.
Lead Software Engineer – ML/Data Platform
Lead a team building and deploying enterprise-scale ML pipelines and data platforms for JPMorgan Chase, using AWS, PySpark, TensorFlow, and responsible AI practices.
Senior Data Engineer - PySpark & SQL
Senior Data Engineer designs, builds, and maintains data pipelines and dashboards using PySpark, SQL, and Databricks to transform and analyze datasets for performance reporting and user behavior insights.
Software Engineer III (Databricks)
Build and maintain scalable data pipelines and warehousing solutions using Databricks, Spark, and AWS tools to support HR analytics and business intelligence at a global financial firm.
Staff Data Engineer (AWS Cloud and AI)
Build and maintain AWS-based data pipelines and AI-driven data products for a large bank, using Python, PySpark, and cloud-native tools to power analytics and customer experiences.
Data Engineer (AWS) - Manchester
Build and maintain AWS-based data pipelines and ETL processes, migrating to cloud and ensuring data quality for business intelligence.
Senior Data Engineer (AWS) - Manchester
Senior Data Engineer builds and maintains AWS-based data pipelines, ETL processes, and real-time solutions using Python, PySpark, and SQL to power business intelligence and cloud migration.