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Data Engineer – Snowflake/Snowpark
Build and maintain Snowflake/Snowpark pipelines for a global lifestyle brand’s customer data platform, enabling faster, reliable access to insights for personalised interactions.
Data and AI - Data Architect or Engineer
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Google Cloud Platform Data Engineer
Build and maintain scalable Google Cloud data pipelines using BigQuery, Dataflow, and Pub/Sub, ensuring high-quality, reliable data for analytics and business users.
Lead Software Engineer - Data & AI
Lead a team building scalable data platforms and AI systems, including RAG pipelines and GenAI integrations, to power fintech products at JPMorgan Chase.
Principal Data Engineer
Principal Data Engineer designs and builds enterprise-scale cloud data platforms and pipelines, setting engineering standards and leading DataOps initiatives to support secure, high-performing analytics and decision-making.
Senior Data Scientist/AI Engineer
Build and deploy AI/ML models (LLMs to classic regression) and shape the company’s GenAI strategy while bridging Data Science and MLOps in a fast-paced fintech environment.
Research Data Engineer
Build and maintain scalable data pipelines and cloud-native infrastructure to ingest and optimize multi-modal scientific datasets for ML model training in drug discovery.
Research Data Engineer
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
Software/Data Engineer
Build and maintain scalable data pipelines and AI-driven systems for an ethical ad-tech platform, integrating ML models into production while ensuring data quality and security.
Principal Data Engineer
Principal Data Engineer designs and maintains secure, scalable data platforms and pipelines for Defence/Aerospace programmes, using cloud-native tech and DataOps to enable analytics and digital transformation in regulated environments.
Senior MLOps & Data Engineer
Build and maintain cloud-native MLOps and data pipelines for a biotech firm, deploying and scaling ML models in AWS/GCP while ensuring reliability, security, and reproducibility.
Senior MLOps & Data Engineer — Cloud AI Platforms
Senior MLOps & Data Engineer builds and maintains cloud-based AI infrastructure on AWS/GCP, deploys ML models, and creates data pipelines for a biotech company.
Data & AI Engineer
Design, build, and deploy enterprise-scale AI/ML solutions using Python, SQL, and frameworks like TensorFlow/PyTorch across Azure, AWS, or GCP.
Data Architect / Senior Data Engineer - Newcastle
Design and lead enterprise-scale data platforms and AI/ML architectures, defining standards for scalable, secure data pipelines and intelligent products using cloud-native tools and MLOps.
AI-Driven Data Engineer for Scalable Analytics
Build and maintain Snowflake-based data platforms and automated pipelines to power analytics, AI, and ML workloads for a UK insurance company.
Lead AI Data Engineer
Lead AI Data Engineer builds and optimizes RAG pipelines, fine-tunes LLMs, and designs secure data ingestion systems for a proptech company serving insurance and banking clients.
Lead AI/ML Data Engineer
Lead AI/ML Data Engineer builds and deploys machine-learning features and data pipelines for Mastercard’s products, using Python, Spark, and cloud platforms.
Data Engineer (AWS)
Build and maintain scalable AWS data pipelines and MLOps workflows for a government team, focusing on ingestion, transformation, and reproducible analytics.
AI & Data Engineer
Build and deploy Azure-based machine learning models using Python and AutoML, then monitor and retrain them to keep them accurate and ethical in production.
Data Engineering Consultant
Build and maintain scalable data pipelines using Azure technologies and Databricks to help clients extract value from their data assets.