We are looking for DataOps Engineer to join a large-scale DataOps project building a modern cloud-based data ecosystem on Azure from scratch.
About the project:
The Data Normalisation Project aims to streamline and harmonise data across systems through a well-defined technical and program design. The initiative is anchored on approved business and functional requirements and features a detailed target architecture, data privacy assessment, and a recommended schema structure. A comprehensive technical design outlines success criteria, KPIs, a governance framework, and tool selection for the data platform, governance, and BI layers. Additionally, the already project includes a technical delivery roadmap broken down by work package, team composition, NFRs, operationalisation, and an access management framework.
The client is a global leader in talent solutions and consulting, operating in 60+ countries. The team will grow to ~20 experts and work in a greenfield environment, offering you the chance to influence architectural decisions and build systems without the limitations of legacy tech.
