ironquill.tech/board

$ cat jobs/consultant-data-engineer-sia-36cf1fd422e6.json

Consultant Data Engineer

Sia·EU·Amsterdam, NL·mid
pythonrestdockerkubernetesawsgcpazuremldata engineeringdata scienceci/cd
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Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. The Data Science team is young, diverse and growing. As we are still relatively small you will be in the driver seat to shape its future. We have a flat structure and value the entrepreneurial spirit of our members: initiative is highly encouraged. We are also striving for well-being, diversity and knowledge-sharing inside the team, so that we all grow. As a Data engineer consultant you will be working on various client projects as well as on building our own Sia AI solutions, together with our French Data Engineering team: Cloud Services at GCP, AWS and Azure: architecture choices, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code Docker and Kubernetes: containerization & orchestration of applications, management of K8s clusters adapted to Data Science workloads Python programming: development of server-side tools (bulk data processing, REST API server, authentication, ...) CI/CD: managing the integration and ongoing deployment of our applications and internal platforms, supporting the deployment of Data Science projects at our clients' sites Data pipelines: development of ETL scripts in Big Data environments Infrastructures & Services adapted to Machine Learning: technology watch and implementation of solutions useful to Data Scientists in the learning and provision of thei

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