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Build full-stack features for web and mobile using React/React Native, and develop scalable backend services with C#, TypeScript, and Ruby on Rails in AWS microservices environments.
Build and operate backend services and batch pipelines that classify and extract data from documents using AI/ML technologies, requiring a BI Full 6C (T4) security clearance.
Design, develop, and optimize AWS data pipelines using services like Glue, S3, Redshift, Athena, EMR, and Kinesis, with SQL and PySpark, to deliver reliable datasets to analysts and scientists.
Build and maintain AWS-based CI/CD pipelines using Groovy and CloudFormation to automate deployments for a government tech platform.
Design and maintain CI/CD pipelines with Jenkins on a multi-account AWS environment, manage CloudFormation stacks, and automate deployments using Bash, Python (boto3), and Groovy across dev, QA, staging, production, and DR environments.
The Senior Site Reliability Engineer will manage incident response, monitor system health, and build automation tools to ensure the stability and reliability of Arcesium's financial technology platform. The role requires expertise in Kubernetes, cloud infrastructure (AWS), and incident management to support mission-critical production applications.
Implement and maintain cloud infrastructure for clients using AWS, Azure, Kubernetes, and CI/CD pipelines while ensuring monitoring and logging are in place.
DWP Digital's Management Information (MI) team is seeking a Data Engineer to shape data at scale using AWS technologies, PySpark, and ETL pipelines for reporting, analytics, and strategic decision-making. Join a…
Join a fast-growing consultancy at the forefront of secure data and cloud infrastructure, delivering AI-ready platforms for some of the UK's most high-impact projects.We're looking for an experienced AWS Data…
Liverpool Football Club and Athletic Grounds Limited is recruiting an Associate, Lead Data Engineer to help deliver and evolve the club’s data platform and data warehouse services. You will design scalable data…
1 day ago Be among the first 25 applicants Direct message the job poster from BULLIT MANAGEMENT SERVICES LIMITED We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift,…
Lead Data Engineer designing and maintaining scalable AWS-based data pipelines, ETL processes, data models, and APIs for LFC Foundation's enterprise data platform, while guiding offshore teams and upholding architectural standards.
Get AI-powered advice on this job and more exclusive features. This range is provided by W Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range…
Our client is a global innovator and world leader with one of the most recognisable names within technology. They are looking for a skilled Senior Data Engineer to become an integral part of the their Data Engineering…
Company: Liverpool Football Club and Athletic Grounds Limited We have an exciting opportunity for an individual to join our Liverpool FC team as a Associate, Lead Data Engineer. You will help to deliver, maintain, and…
Lambda World in Greater London is seeking a Senior Data Engineer to enhance its Engineering team. This role involves designing and optimizing data products while collaborating closely with data scientists and machine…
Here at LNER, we’re shaping the future of rail on one of the UK’s most iconic routes. We’re investing in cutting‑edge technology, sustainability, and most importantly our people, to deliver outstanding experiences for…
Lead Data Engineer at Liverpool FC responsible for designing, building, and maintaining the club's AWS-based data platform—data pipelines, ETL, data models, and APIs—while providing technical leadership to offshore teams.
Capabilities Digital and Data Office Setup Hybrid Job ID #43951 Playing in picture-in-picture Playing in picture-in-picture (opens a new window) Like Add to Watch Later At Jacobs, we're challenging today to…
Lead the design and maintenance of Liverpool FC’s data platform, building scalable AWS-based pipelines, ETL processes, and data models in Python and SQL to power analytics and decision-making.
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