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Designs and builds cloud-native data lakes on AWS, handling data ingestion, transformation, and loading for analytics and ML pipelines.
Build and maintain AWS-based data lakes, pipelines, and serverless ETL workflows for analytics and ML models.
Designs and builds scalable AWS-based data lakes and ML pipelines, collaborating with analysts and architects to ingest, transform, and load data for analytics and machine learning.
Designs and builds AWS-based data pipelines and infrastructure, migrating systems to scalable cloud environments and ensuring high availability and security.
Designs, automates, and secures cloud infrastructure for a fintech platform handling millions of secure data-sharing transactions, ensuring reliability, scalability, and compliance with SOC 2/ISO 27001 standards using AWS, IaC, and observability tools.
Designs and maintains cloud-based data infrastructure (AWS) to ensure scalable, secure, and high-performing data solutions for data engineering, CRM, and data science teams, focusing on automation, observability, and reliability.
Data Engineer II building and operating scalable ETL pipelines and data infrastructure for Amazon's FBA Central Analytics, using Spark/PySpark, dbt, Airflow, and SQL on AWS.
Data Engineer on Amazon's SmartCommerce team designing, building, and maintaining data solutions and ETL pipelines using SQL, Python, and AWS infrastructure for the SmartBiz e-commerce platform.
Designs and maintains scalable data pipelines for Prime Video Advertising, processing streaming/batch data (structured/unstructured) via AWS tools (Glue, Redshift, EMR) and frameworks like Spark/Airflow to enable analytics and ad-targeting insights.
Builds and deploys a cloud-native AI-powered subcontractor pre-qualification platform using AWS services, including a self-service portal, risk profiling, and exception management dashboards.
This is a 3-month remote contract role for a Full Stack Java Developer. The position requires proficiency in Java, Vue.js, TypeScript, Node.js, SQL, and AWS cloud services.
Salary: £30,000 - 55,000 per year Requirements: Strong commercial experience with TypeScript in a back-end context Solid hands-on AWS experience, including Lambda, ECS, RDS, S3, and IAM Proven DevOps background,…
Salary: £? - ? per year Requirements: Strong commercial experience developing applications with Python. Excellent AWS experience, including services such as Lambda, ECS, EC2, API Gateway, S3, DynamoDB and CloudWatch.…
The AWS AI Agent Engineer will design, build, and operate enterprise-grade AI agents and multi-agent workflows using Amazon Bedrock and AWS serverless technologies. The role focuses on implementing RAG, orchestration, and observability to ensure reliable, secure, and cost-effective production AI applications.
Salary: £35,000 - 40,000 per year Requirements: JavaScript and Vue.js - comfortable building and maintaining component-based UIs Python - FastAPI or similar, writing Lambda endpoints PostgreSQL - confident writing…
This role involves building scalable Java/Spring Boot microservices and high-throughput data streaming solutions using AWS, Kafka, and Databricks. The developer will work in a team environment to deliver cloud-native services using Docker and Kubernetes.
About the Client Our client is a fast-growing deep-tech startup building advanced solutions for monitoring large-scale critical infrastructure. Their technology combines innovative fiber-optic sensing with machine…
ZONTAL is seeking a Data Engineer to build and maintain robust ETL/ELT pipelines and data infrastructure using Python, Apache Airflow, and AWS. The role involves collaborating with data science teams to automate workflows and improve data processing efficiency while ensuring data quality and security.
The Junior Data Engineer will build and scale a modern data platform to support AI, BI, and analytics for a financial services company. The role involves developing ETL pipelines using Python, AWS, Spark, and dbt.
Senior Data Engineer building and managing AWS data pipelines and platforms for client projects, using AWS services, Spark, Airflow, and Infrastructure as Code.
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