pbContract duration: /b 6 month contract renewablebr/bLocation: /b Geneva /ppOn behalf of our client, we are looking for an experienced bData Engineer /b to design, develop and maintain robust, scalable data solutions on Google Cloud Platform. /ppThe start date is ideally planned for bJanuary or February 2027 /b. Further details regarding the assignment are still to be defined. /ph3Your responsibilities /h3pYou will be responsible for: /pullipDesigning and implementing scalable data architectures on bGCP /b, primarily using bBigQuery /b and bCloud Composer /b. /p /lilipDeveloping and maintaining reliable, recoverable bELT/ETL pipelines /b. /p /lilipBuilding analytics-ready data models with bdbt /b, including staging, warehouse and mart layers. /p /lilipImplementing data documentation, testing and quality checks. /p /lilipSetting up and maintaining bCI/CD processes with GitLab /b, including quality gates and promotion across environments. /p /lilipManaging cloud infrastructure with bTerraform /b, including cloud resources, IAM permissions and relevant networking dependencies. /p /lilipDeveloping Python components for data ingestion, orchestration, data quality checks and automation. /p /lilipTaking ownership of production operations, including monitoring, alerting, incident response, cost management and performance optimisation. /p /lilipWorking closely with Analytics Engineers, AI Engineers and business stakeholders to translate requirements into robust data products. /p /li /ulh3Technical environment /h3ullipbGCP /b: BigQuery, IAM, Cloud Composer and Airflow /p /lilipbdbt /b: dbt Core, packages, macros, tests, documentation and exposures /p /lilipbGitLab /b: merge requests, branching strategies, CI/CD pipelines, runners and secrets management /p /lilipbTerraform /b: modules, workspaces, environments and state management /p /lilipbPython /b: data pipelines, APIs, automation and testing /p /lilipbSQL /b: data modelling, performance tuning, partitioning, clustering and cost optimisation /p /li /ulh3Your profile /h3pYou have: /pullipProven experience delivering data engineering solutions on bGCP /b, particularly with BigQuery and related services. /p /lilipStrong bSQL /b skills, including data modelling, performance optimisation, partitioning and clustering. /p /lilipSolid experience with bdbt /b, including project structure, macros, tests, documentation and deployment practices. /p /lilipExperience with an orchestration tool such as bAirflow, Cloud Composer, Dagster or Prefect /b. /p /lilipExperience with bGitLab CI/CD /b and Git-based collaboration, including code reviews, branching strategies and releases. /p /lilipPractical experience with bTerraform /b, including writing or using modules and managing multiple environments. /p /lilipA good understanding of bIAM principles /b, least-privilege access, group-based permissions and service accounts. /p /lilipGood command of bPython /b, with an emphasis on clean code, basic packaging, testing and API integration. /p /lilipA strong production mindset, with a focus on observability, reliability, security and maintainability. /p /li /ulh3Nice to have /h3pThe following would be an advantage: /pullipExperience with data observability tools such as bMonte Carlo /b, or with custom monitoring solutions. /p /lilipFamiliarity with data integration tools such as bAirbyte /b or bFivetran /b. /p /li /ul #J-18808-Ljbffr
Data Engineer – GCP Data Platform in Genève Arbeitgeber: Helvetic Payroll
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