AI systems. Data Security & Privacy: Experience implementing AI security measures, including data anonymization, encryption, and access control. Cloud & Infrastructure: Knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices. Strong Programming Skills: Proficiency in Python, C#, or other relevant languages for AI development. API & Integration Experience: Experience with REST More ❯
following front-end languages: . JavaScript, HTML, CSS, JSON, React.Js Experienced in designing and implement using REST APIs and GraphQL Proficient in using Selenium, AWS and Azure Skilled in Linux Back-end experience in the following More ❯
following front-end languages: . JavaScript, HTML, CSS, JSON, React.Js Experienced in designing and implement using REST APIs and GraphQL Proficient in using Selenium, AWS and Azure Skilled in Linux Back-end experience in the following: This is a great opportunity for a Software Developer C++ that has attention to More ❯
following front-end languages: . JavaScript, HTML, CSS, JSON, React.Js Experienced in designing and implement using REST APIs and GraphQL Proficient in using Selenium, AWS and Azure Skilled in Linux Back-end experience in the following: This is a great opportunity for a Software Developer C++ that has attention to More ❯
annual bonus Flexible hybrid working options Private medical insurance, critical illness and life/income protection insurance Generous pension scheme Cutting-edge projects using AWS and other modern technologies What are we looking for? Experience in the design and deployment of production data pipelines from ingestion to consumption within a … a consideration. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional … Agile teams and you are familiar with Scrum ceremonies. Youll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies. AWS is a significant growth area for the More ❯
leveraging your expertise to help customers extract meaningful insights from their data. Utilising dbt, BigQuery, Airflow, Cloud Composer and Looker within a multi-cloud (AWS + GCP) architecture, you will be responsible for driving cross-domain collaboration through a rapidly scalable data platform. The ideal candidate will have a strong … engineering teams Proficiency in SQL and programming languages such as Python, Java or Scala Expertise leading teams and delivering in cloud data platforms (GCP, AWS) Familiarity with data modelling, warehousing, and database optimisation Strong understanding of data governance, security, and compliance frameworks (GDPR, ISO 27001, etc.) Education and Experience Bachelors More ❯
background in software engineering and architecture, with previous experience leading engineering teams. Strong experience designing and delivering modern digital architectures, especially within cloud ecosystems (AWS, Azure, or GCP). A track record of success delivering enterprise-scale architecture solutions. Excellent stakeholder management skills with the ability to influence and align … executive-level decision-makers. Familiarity with both Agile and Waterfall delivery approaches, and comfort operating across different delivery cultures. Certifications such as AWS Solutions Architect, Azure Architect, TOGAF, or SAFe are advantageous but not required. The Package: Flexible and hybrid working environment 25 days annual leave plus Christmas Eve half More ❯
supporting high-impact data-driven solutions and cutting-edge cloud architecture. We are looking for a technically sharp, motivated, and collaborative Data Engineer with AWS experience and a passion for building reliable, scalable data infrastructure. This is an exciting opportunity to get involved with a highly capable team working on … greenfield and enterprise-scale cloud projects. As a Data Engineer, you will: Design, develop, and maintain cloud-native data pipelines and infrastructure, primarily using AWS services. Implement scalable ETL/ELT processes to support business intelligence and advanced analytics. Collaborate with cross-functional teams including data scientists, architects, and developers … platforms. Take ownership of datasets and influence architecture decisions with a forward-thinking approach. A successful Data Engineer will have: Strong experience working with AWS Proficiency in SQL and a programming language such as Python or Scala. Background in building and maintaining modern data architectures, including batch and real-time More ❯
