Data Engineer – GCP Data Platform

Helvetic Payroll; Genf; Presencial; CHF 110.000 - 160.000; Jornada completa

Descripción de la vacante

Helvetic Payroll is seeking an experienced Data Engineer in Geneva to design, build and maintain scalable data solutions on Google Cloud Platform. The role focuses on ELT/ETL pipelines, dbt models, and production-grade operations starting January or February 2027.

You will work with Analytics Engineers and AI Engineers to translate business needs into robust data products, upholding observability, security and reliability across environments.

Formación

• Proven experience delivering data engineering solutions on GCP, particularly with BigQuery.
• Strong SQL skills including data modelling, performance optimisation and partitioning.
• Solid experience with dbt including project structure, tests, documentation.
• Experience with orchestration tools such as Airflow / Cloud Composer / Dagster / Prefect.
• Experience with GitLab CI/CD and Git-based collaboration (code reviews, releases).
• Practical experience with Terraform and multi-environment management.
• Good understanding of IAM, least-privilege access and service accounts.
• Good Python skills with focus on clean code, packaging and API integration.
• Strong production mindset with observability, reliability, security and maintainability.

Responsabilidades

• Designing and implementing scalable data architectures on GCP, using BigQuery and Cloud Composer.
• Developing and maintaining reliable ELT/ETL pipelines.
• Building analytics-ready data models with dbt across staging, warehouse and mart layers.
• Implementing data documentation, testing and quality checks.
• Setting up and maintaining CI/CD processes with GitLab, including quality gates and promotion across environments.
• Managing cloud infrastructure with Terraform, IAM permissions and networking dependencies.
• Developing Python components for data ingestion, orchestration, data quality, and automation.
• Taking ownership of production operations: monitoring, alerting, incident response, cost management and performance tuning.
• Collaborating with Analytics Engineers, AI Engineers and business stakeholders to translate requirements into data products.

Conocimientos

GCP

SQL

dbt

Airflow

GitLab CI/CD

Terraform

IAM

Python

Observability

Herramientas

BigQuery

Cloud Composer

dbt Core

GitLab CI/CD

Terraform

Python

Descripción del empleo

Contract duration: 6 month contract renewable
Location: Geneva

On behalf of our client, we are looking for an experienced Data Engineer to design, develop and maintain robust, scalable data solutions on Google Cloud Platform.

The start date is ideally planned for January or February 2027. Further details regarding the assignment are still to be defined.

Your responsibilities

You will be responsible for:

• Designing and implementing scalable data architectures on GCP, primarily using BigQuery and Cloud Composer.

• Developing and maintaining reliable, recoverable ELT/ETL pipelines.

• Building analytics-ready data models with dbt, including staging, warehouse and mart layers.

• Implementing data documentation, testing and quality checks.

• Setting up and maintaining CI/CD processes with GitLab, including quality gates and promotion across environments.

• Managing cloud infrastructure with Terraform, including cloud resources, IAM permissions and relevant networking dependencies.

• Developing Python components for data ingestion, orchestration, data quality checks and automation.

• Taking ownership of production operations, including monitoring, alerting, incident response, cost management and performance optimisation.

• Working closely with Analytics Engineers, AI Engineers and business stakeholders to translate requirements into robust data products.

Technical environment

• GCP: BigQuery, IAM, Cloud Composer and Airflow

• dbt: dbt Core, packages, macros, tests, documentation and exposures

• GitLab: merge requests, branching strategies, CI/CD pipelines, runners and secrets management

• Terraform: modules, workspaces, environments and state management

• Python: data pipelines, APIs, automation and testing

• SQL: data modelling, performance tuning, partitioning, clustering and cost optimisation

Your profile

You have:

• Proven experience delivering data engineering solutions on GCP, particularly with BigQuery and related services.

• Strong SQL skills, including data modelling, performance optimisation, partitioning and clustering.

• Solid experience with dbt, including project structure, macros, tests, documentation and deployment practices.

• Experience with an orchestration tool such as Airflow, Cloud Composer, Dagster or Prefect.

• Experience with GitLab CI/CD and Git-based collaboration, including code reviews, branching strategies and releases.

• Practical experience with Terraform, including writing or using modules and managing multiple environments.

• A good understanding of IAM principles, least-privilege access, group-based permissions and service accounts.

• Good command of Python, with an emphasis on clean code, basic packaging, testing and API integration.

• A strong production mindset, with a focus on observability, reliability, security and maintainability.

Nice to have

The following would be an advantage:

• Experience with data observability tools such as Monte Carlo, or with custom monitoring solutions.

• Familiarity with data integration tools such as Airbyte or Fivetran.