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Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Lead a cloud data platform team, designing scalable pipelines and warehouses in AWS, setting engineering standards, and mentoring engineers to deliver high-performance data solutions.
Build and maintain full-stack web apps using React/Next.js, Node.js, TypeScript, and AWS; collaborate in a small team to ship features and explore AI integrations.
Build and maintain AWS-based data pipelines that parse telecom network metrics, convert to Parquet/Iceberg, and stream into Redshift/ClickHouse using PySpark, Lambda, MSK, and Step Functions.
Lead a team of data engineers to design and deploy cloud-native data pipelines and warehouses, migrating IAG Cargo from on-premise to AWS and Snowflake.
Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Architect and build scalable, high-performance front-end interfaces using Angular/React and Micro Frontends, optimizing performance and accessibility for complex web platforms.
Lead the design, build and operation of a large-scale AWS data platform using Redshift, Glue, Lambda and Kinesis to deliver reliable analytics and insights for the UK rail industry.
Lead a team to build and maintain a large AWS-based data platform, designing scalable pipelines and setting engineering standards for batch and streaming data workflows.
Design and build high-performance big data applications in AWS and Databricks, processing large datasets in batch and real-time for clients across industries.
Senior front-end engineer building scalable, high-performance web interfaces with Angular/React and Micro Frontends, optimizing UI/UX and mentoring peers.
Builds and maintains AWS-based recruitment software using Java/Kotlin, Node.js, and TypeScript, with DynamoDB, OpenSearch, and serverless services.
Build and maintain data pipelines powering AI-driven SaaS security products, integrating with cloud services and APIs to detect threats and manage risks in enterprise environments.
Builds and maintains scalable Java microservices with Spring Boot, real-time data pipelines using Kafka/Flink, and deploys them on AWS and Kubernetes.
Principal Java Engineer building low-latency, high-throughput payment systems using Core Java, Spring Boot, and cloud-native tools in a hybrid London role.
Lead a config-driven data platform that ingests, transforms, and delivers paid-media data from 26+ ad platforms into BigQuery using dbt, Python, and GCP.
Lead a team building and maintaining Java-based biometric systems for a UK public-sector program, using Spring Boot, microservices, AWS, and Docker.
Lead a team building and maintaining scalable data pipelines using AWS (S3, Athena, Redshift, Glue) and Python/Java to integrate diverse data sources for government analytics and reporting.
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.
Build and optimize cloud-native data pipelines and lakehouse infrastructure to process multi-omics datasets for ML-driven drug discovery in a TechBio company.
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