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Senior Data Engineer at Publicis Groupe designing and building enterprise-scale cloud data platforms—lakehouse architectures, ingestion pipelines, governance, and AI/LLM-enabled data services—using Python, SQL, Spark, and AWS or Azure.
Senior Data Engineer designing and building enterprise-scale cloud data platforms, including lakehouse architectures, data ingestion, orchestration, governance, and APIs at a digital consultancy.
Senior Data Engineer designing and modernizing enterprise-scale cloud data platforms, working across ingestion, lakehouse architectures, orchestration, governance, and APIs to build scalable, cloud-native solutions.
Senior Full Stack Engineer building scalable cloud-native microservices using Java/Spring Boot, Node.js, and React, with module ownership and technical leadership on cross-functional Agile teams.
QA Test Engineer role involving earlier involvement in the development lifecycle rather than late-stage testing, with 4 days per week onsite in Glasgow.
Lead the design and delivery of end-to-end data platforms, building reliable pipelines and modern architectures to meet business outcomes for clients.
Build and maintain scalable data pipelines and ETL/ELT workflows using Snowflake and Cortex to support reporting and governance in an Agile team.
Full Stack Developer working across the entire software lifecycle with .NET and React, applying TDD and automated testing in a hybrid Wellington role.
Design, build, and maintain scalable data pipelines and cloud-based data platforms on AWS using Python, collaborating with analysts and scientists to support analytics and BI initiatives.
This role involves designing and maintaining scalable data pipelines and cloud infrastructure on AWS to support analytics and AI initiatives. The engineer will collaborate with cross-functional teams to manage data integration, migration, and governance using Python, SQL, and Terraform.
Lead the end-to-end development of the MagicAssist platform, building features like User Management, an AI Marketplace, and Generative UIs using React, Next.js, Python, and FastAPI, backed by PostgreSQL.
Full Stack Engineer on contract designing and developing scalable web apps with TypeScript, React, Node.js, and AWS cloud services in Punggol, Singapore.
DevOps Lead overseeing secure, scalable cloud infrastructure and DevOps platforms on AWS/Azure/GCP, with hands-on work in CI/CD (Jenkins, GitLab), container orchestration (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).
Design and build AI-powered web applications by developing ML models with PyTorch and integrating them into production systems via Python (FastAPI/Flask) or Java (Spring Boot) backends, with deployment on cloud or on-premise infrastructure.
Lead greenfield development of a cloud data warehouse and portfolio monitoring platform on Azure/Databricks, converting Excel workflows into auditable data pipelines for finance operations.
SC Cleared AWS DevOps Engineer on a 12-month fully remote contract supporting a multi-client digital delivery environment with AWS, Terraform, CI/CD, and Linux infrastructure.
Lead Data Engineer owning the architecture and development of a modern Databricks-based Lakehouse platform, mentoring a team and collaborating with data scientists on AI/ML initiatives using Databricks, Spark, Delta Lake, Python, SQL, and Azure.
Lead Data Engineer owning architecture and development of a Databricks Lakehouse environment, mentoring data engineers, and partnering with data scientists and product teams in London on a hybrid basis.
Senior Full Stack Engineer building a greenfield platform with Node.js, TypeScript, React, and Azure, owning backend services, APIs, and cloud infrastructure while contributing to frontend in a startup-style team.
Senior DevOps Engineer building a modern platform from the ground up, owning infrastructure design, deployment pipelines, and tooling using Kubernetes, AWS, Terraform, and CI/CD.
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