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Principal Data Engineer
Principal Data Engineer designs and builds modern, cloud-native data platforms and real-time pipelines using Databricks, Snowflake, AWS/GCP, Spark, Kafka, and Flink for enterprises and government clients.
Data Engineer (Snowflake & Airflow)
Build and maintain data pipelines for a UK banking client using Snowflake and Airflow, working in small Agile teams.
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.
Staff Data Engineer
Build and own a scalable data platform for regulatory reporting in a fast-growing fintech, integrating batch/streaming pipelines and microservices to submit accurate outputs to regulators.
Analytics / Data Engineer
Build and maintain the data platform that powers reporting, AI workflows, and decision-making at a prop-trading discovery platform using BigQuery, dbt, Airbyte, and Airflow.
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.
Consultant - Manager, Data Engineer, AI & Data, Defence & Security
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Principal Data Engineer
Principal Data Engineer builds and leads a scalable data platform at an e-commerce photo-products company, focusing on trustable, decentralized data adoption and AI-driven customer experiences.
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.
Associate Data Engineer
Build and maintain scalable data pipelines and ML infrastructure for real-time energy market analytics using Python, AWS, and Airflow.
Staff Data Engineer
Build and maintain scalable data pipelines and curated datasets in Snowflake using dbt, Airflow, and Terraform to power CRM analytics and insights for Zendesk’s support operations.
Data Engineer - Data & Analytics Platforms
Design and build scalable data pipelines and platforms in Python/SQL on cloud services (AWS/Azure/GCP) to power analytics and AI use cases for enterprise clients.
Senior Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure on Google Cloud, ensuring data quality and enabling analytics for clients.
Principal Data Engineering : Databricks
Principal Data Engineer builds and leads data pipelines and foundations using Databricks, PySpark, Python and SQL to enable an energy trading company to extract value from data.
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.
Data Engineer, Fraud
Build and maintain scalable data pipelines and storage systems to power fraud detection, analytics, and reporting using Python, SQL, and orchestration tools like Airflow.
Senior Data Engineer
Design and build a scalable data infrastructure for a global PE fund using Snowflake, dbt, and Azure Data Factory to support analytics and AI initiatives across investment teams.
Senior Data Engineer
Build and maintain scalable data pipelines and ETL processes in Python and SQL, using Snowflake, Airflow, and Kafka to deliver high-quality commodity-market data for analytics and AI-driven insights.
Cloud Data Engineer
Designs and maintains scalable AWS-based data pipelines using SQL, Spark, Kafka, and Python to process large datasets and deliver analytics for business insights.