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Data Engineering Lead (SVP)
Lead a team engineering cloud-native data services for Citi’s strategic platform, migrating to Databricks and building scalable Spark/Scala solutions on AWS to power global finance systems.
Contract AI Data Engineer (Trading)
Design and deploy enterprise-scale GenAI, RAG, and agentic AI solutions for a global energy trading firm, using Azure OpenAI, Databricks, and LangChain to automate workflows and enhance decision-making.
Data Engineer
Design and build cloud-native data pipelines using Azure Databricks, SQL, Python, and Delta Lake for large-scale analytics and warehousing.
Senior Consultant (Data Engineering)
Senior Consultant designs and delivers modern data platforms using Microsoft Fabric, Azure Databricks, and Power BI, leading client engagements to turn data into business insights.
Principal AI Data Engineer
Principal AI Data Engineer builds and deploys GenAI/AgenticAI systems on Azure and Databricks, focusing on RAG, AI agents, and scalable workflows.
Principal AI Data Engineer with World Leading Energy Company
Principal AI Data Engineer builds and scales GenAI/agentic AI solutions for a leading energy company using Azure AI, Databricks, and Python.
Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines in Python and Databricks for a banking client, focusing on regulatory controls and enterprise communication data.
Secure Data Engineer - Birmingham
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
AI Data Engineer - London
Build and maintain scalable data pipelines and AI-ready datasets for analytics and agentic systems using cloud platforms like AWS/Azure/GCP and tools such as Databricks and Snowflake.
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.
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.
Senior Lead Software Engineer - Front Office Trading
Lead the build and maintenance of a trade execution platform using Python/Java, Kafka, AWS, Databricks, and SQL/NoSQL, collaborating with front-office teams to deliver mission-critical software.
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.
Principal Solution Architect, Data (Group Benefits)
Principal Solution Architect defines enterprise data and AI architectures for Guardian’s Group Benefits systems, setting standards and reusable patterns to scale underwriting, billing, claims, and analytics while ensuring governance and compliance.
AI & Data Platform Architect
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
AI & Data Platform Architect
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Senior Data Engineer
Build and optimize cloud-native data platforms using Microsoft Fabric, Azure Synapse, and Python to power scalable analytics and data pipelines for a product-focused company.
Principal Data Engineer- Databricks & AI platform
Principal Data Engineer designs and scales GoTo’s Databricks Lakehouse (Unity Catalog, Delta Lake, Spark), sets data-pipeline standards, and leads AI-ready infrastructure and migrations.
Senior Quality Test Engineer II
Senior QA engineer builds and maintains automated test frameworks for a data lake platform, using AI tools to validate data pipelines, APIs, and serverless apps while enforcing quality metrics.