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Data Engineer - RHE - Data and Platform Engineer
Designs and maintains scalable data pipelines and database platforms for Roche’s global healthcare data infrastructure, using SQL, Linux, ETL tools, and cloud services.
Senior Data Engineering
Designs and builds secure, scalable data pipelines and platforms for fraud analytics using Snowflake, Databricks, Spark, and Azure, ensuring compliance with PCI-DSS and Mastercard’s data governance standards.
Senior Machine Learning Engineer
Designs and operates high-throughput, low-latency ML systems for Expedia’s TravelAds marketplace, automating the ML lifecycle and integrating LLM-powered solutions at scale.
FFR - Lead Software Engineer – Backend & AI/ML & Cloud
Lead a team building scalable AI/ML pipelines and cloud-native services to extract financial insights from documents, using Python, LLMs, and AWS/Azure/GCP.
Platform Engineer - Big Data Admin
Senior developer builds and optimizes Spark applications in Scala for large-scale data processing in finance/accounting and devices, collaborating with cross-functional teams.
Data Scientist
Designs and deploys AI/ML models and GenAI solutions to extract insights from industrial and business data, using Python, cloud platforms, and MLOps practices.
SC Cleared DevOps Engineer
A DevOps engineer builds and maintains cloud infrastructure using AWS, Terraform, and Docker, automating data pipelines with Python, Airflow, and Spark.
Java Lead Backend Developer
Lead a team building high-performance Java microservices for global financial systems using Spring Boot, Kafka, and AWS, while mentoring engineers and owning end-to-end delivery.
Software Engineer
Build and maintain backend services and data pipelines for a gaming analytics platform using Python, Flask, and GCP, focusing on reliability and cost efficiency.
Process Manager
Key Responsibilities: Design and implement data pipelines on GCP using BigQuery, Airflow Implement ETL/ELT frameworks for large-scale campaign and clickstream data Optimize pipeline costs and query performance in…
Principal AI-ML Engineer
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
Data & AI Engineer
Build and maintain Snowflake-based data platforms and AI pipelines in Python/Azure to power analytics, automation, and ML-driven insurance products for a UK digital insurer.
Senior Data Engineer
Build and scale data pipelines, a modern data warehouse, and backend services for a UK fintech lender, primarily using BigQuery, SQL, and cloud-native tools.
Data Science Manager
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Senior App/Prod Support (Tier 3 Site Reliability Engineer (SRE) / Platform Engineer)
Senior engineer responsible for platform reliability, automation, and observability in a large enterprise, focusing on Kubernetes, CI/CD, and cloud-native tooling.
Director, Data Engineering
Lead a team of senior data engineers to build and scale cloud data pipelines and lakehouse analytics for Salesforce’s marketing tech stack, ensuring clean, governed data for AI-driven activation and attribution.
Data Engineer - Snowflake / 3NF
Build and optimize cloud data pipelines and models in AWS, Snowflake, and dbt to power analytics and business decisions for a UK loyalty and rewards program.
Platform Engineer
Build and maintain GCP-based cloud infrastructure and foundational services for fintech products using Terraform, Kubernetes, and CI/CD pipelines.
AI/ML Engineer – Subject Matter Expert (SME)
Senior AI/ML engineer building generative-AI and LLM-powered tools for cybersecurity operations, including malware analysis, threat intelligence, and digital forensics on AWS.