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Full-Stack PHP Developer
Build and maintain PHP/JavaScript-based payment systems on AWS, using CakePHP/Laravel and vanilla JS with DevOps pipelines.
Data Platform Engineer
Design and build scalable data platforms and AI systems for enterprises, using AWS/Azure services, Python, and modern data architectures like data mesh/fabric.
Platform Engineering Manager - Cloud & DevOps
Lead a team managing Kubernetes (EKS), AWS services, and CI/CD pipelines to support Java and JavaScript/TypeScript applications with a focus on security.
Data Platform Engineer
Build and scale the core data platform for a fast-growing B2B SaaS business, extending Databricks lakehouse, AWS infrastructure, and reusable tooling so teams can move data safely and quickly from ingestion to analytics and AI.
Full Stack Engineer
Build and maintain the internal backbone for an AI startup focused on policing, connecting APIs, data pipelines, cloud infrastructure, and ML models using Node, NestJS, Typescript, and AWS services.
Full Stack Developers
Build proof-of-concept software for UK government projects using modern full-stack tools and cloud platforms.
Senior Data Architect (AWS, Azure, GCP)
Designs and implements cloud-based data architectures (AWS, Azure, GCP) and real-time pipelines (Kafka, Snowflake, Databricks) to align client business goals with modern data solutions.
AWS Data Platform Engineer - Japanese Bilingual
Builds and maintains AWS-based data pipelines and warehouses using EMR, Glue, Kinesis, RedShift, and DynamoDB, plus open-source tools like Airflow and dbt.
Big Data Architect
Design end-to-end big-data architectures (Data Lakehouse, Data Mesh) and scalable ETL/ELT pipelines using Spark, Delta Lake, Iceberg, and cloud platforms (AWS/Azure/GCP).
Data Architect (AWS, Azure, GCP)
Designs and implements cloud-based data architectures (AWS/Azure/GCP) and pipelines to improve data integration, quality, and delivery for enterprise clients.
Senior Data Platform Engineer | AWS, Spark & DevOps
Build and maintain next-gen data platforms on AWS using Spark, Python, and DevOps practices to design scalable pipelines, optimize analytics, and automate infrastructure.
Platform Engineer: AI Data Infrastructure Leader
Build and scale core data infrastructure (storage, streaming, caching, indexing) to support large AI models, using MongoDB, Postgres, Kinesis, Flink, Spark, ElasticSearch, and Redis.
Senior Data Engineer (Snowflake, dbt, IBM Streamsets) – 12 Months Fixed Term Contract
Build and maintain scalable data pipelines and models for financial crime detection using Snowflake, dbt, IBM Streamsets, and AWS services to support AML/CTF and sanctions compliance.
Senior Data Engineer, CX
Build real-time data pipelines and ML workflows on AWS to power AI-driven customer experience features, integrating LLMs and agentic systems for workforce management.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
Data Engineer - Cloud Pipelines
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Remote Junior Data Engineer: SQL, Python & AWS Pipelines
Build and maintain ETL pipelines and data models using Python, SQL, PySpark, and AWS services for store operations and sales analytics.
Full Stack Engineer
Lead engineer building a real-time financial data hub using Java/Spring Boot and Kafka, migrating from batch to event-driven pipelines while mentoring the team.
Senior Associate/Manager Data Engineer Consultant (Data Bricks) / Technology Consulting
Design and build scalable data pipelines and architectures using AWS and Databricks, focusing on PySpark, Python, and SQL to enable advanced analytics and ETL workflows for enterprise clients.
Data Engineer (Neo4j Graph)
Design and build Neo4j graph data models and pipelines to detect fraud and money-laundering in banking, using Cypher, Python, and graph algorithms.