Data Engineer (GCP) in Genève

pbData Engineer – GCP Data Platform /b /ppbContract duration: /b 6 month contract renewablebr/bLocation: /b Geneva / Hybrid (depending on project requirements) /ppAs part of an ongoing enterprise data transformation program, we are looking for an experienced Data Engineer to support the design, development, and operation of a modern cloud-based data platform on Google Cloud Platform (GCP). /ppThe consultant will collaborate closely with data, analytics, and business teams to deliver scalable and reliable data solutions that enable advanced analytics and data-driven decision making. /ph3Mission Responsibilities /h3ullipDesign and implement scalable and robust data architectures on Google Cloud Platform, primarily leveraging BigQuery and Cloud Composer (Airflow). /p /lilipDevelop and maintain ELT/ETL pipelines ensuring reliability, recoverability, and performance of data workflows. /p /lilipBuild analytics-ready data models using dbt (staging, warehouse, and mart layers), including documentation, testing, and best practices. /p /lilipImplement and maintain CI/CD pipelines in GitLab, ensuring code quality, automated deployments, and environment promotion. /p /lilipManage Infrastructure as Code (IaC) using Terraform to provision and maintain cloud infrastructure, IAM configurations, and repeatable environments. /p /lilipDevelop Python components where required (data ingestion jobs, orchestration utilities, data quality checks, automation scripts). /p /lilipSupport production operations, including monitoring, alerting, incident resolution, and cost/performance optimization. /p /lilipCollaborate with Analytics Engineers, Data Analysts, and business stakeholders to translate analytical requirements into scalable data products. /p /li /ulh3Technical Environment /h3pCloud Platform /pullipGoogle Cloud Platform (GCP): BigQuery, IAM, Composer / Airflow /p /li /ulpData Transformation /pullipdbt Core, packages/macros, testing frameworks, documentation /p /li /ulpDevOps / CI-CD /pullipGitLab (merge requests, branching strategy, CI pipelines, runners, secrets management) /p /li /ulpInfrastructure /pullipTerraform (modules, environment management, state management) /p /li /ulpDevelopment /pullipPython (data pipelines, APIs, automation, testing) /p /li /ulh3Required Skills /h3ullipStrong experience delivering data engineering solutions on GCP, particularly with BigQuery and related services. /p /lilipExcellent SQL skills, including performance tuning, partitioning/clustering strategies, and cost optimization. /p /lilipProven hands-on experience with dbt, including project structuring, macros, testing, documentation, and deployment practices. /p /lilipExperience with workflow orchestration tools such as Airflow / Cloud Composer (or alternatives like Dagster or Prefect). /p /lilipExperience with GitLab CI/CD and collaborative development using Git workflows (code reviews, branching strategies, releases). /p /lilipPractical experience with Terraform for infrastructure provisioning and environment management. /p /lilipSolid understanding of IAM best practices in cloud environments (least privilege access, service accounts, group-based permissions). /p /lilipProficiency in Python for data engineering use cases (clean code practices, testing, API integration). /p /lilipStrong production mindset, including observability, reliability, and basic security principles. /p /li /ulh3Nice to Have /h3ullipExperience with data observability tools (e.g. Monte Carlo) or custom monitoring frameworks. /p /lilipFamiliarity with data ingestion platforms such as Airbyte or Fivetran. /p /lilipExperience working in modern data platform environments supporting advanced analytics or AI initiatives. /p /li /ul #J-18808-Ljbffr