Data Engineer – GCP Data Platform

Helvetic Payroll

. Design and implement scalable data architectures on GCP, primarily using BigQuery and Cloud Composer .

Posted 10/23/2026contractGeneva • SwitzerlandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures on GCP, utilizing BigQuery and Cloud Composer, while ensuring data quality and reliability through robust ELT/ETL pipelines and CI/CD processes. Proficient in Python for data ingestion and orchestration, with a strong focus on production operations and collaboration with cross-functional teams.

Highest-signal resume keywords

GCP Data EngineeringBigQuerySQL Data ModellingDbt DevelopmentTerraform Infrastructure Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Architecture DesignELT/ETL Pipeline DevelopmentData Quality ChecksPython ProgrammingCI/CD ProcessesData ModellingPerformance OptimisationOrchestration ToolsIAM PrinciplesData Observability

Soft Skills

CollaborationProblem-SolvingProduction Mindset

Tools & Technologies

Cloud ComposerGitLabTerraformAirflowMonte CarloAirbyteFivetran

Industry Keywords

Data EngineeringData IntegrationCloud InfrastructureData Analytics

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact

Design and implement scalable data architectures on GCP, primarily using BigQuery and Cloud Composer
Develop and maintain reliable, recoverable ELT/ETL pipelines
Build analytics-ready data models with dbt, including staging, warehouse and mart layers
Implement data documentation, testing and quality checks
Set up and maintain CI/CD processes with GitLab, including quality gates and promotion across environments
Manage cloud infrastructure with Terraform, including cloud resources, IAM permissions and relevant networking dependencies
Develop Python components for data ingestion, orchestration, data quality checks and automation
Own production operations, including monitoring, alerting, incident response, cost management and performance optimisation
Work closely with Analytics Engineers, AI Engineers and business stakeholders to translate requirements into robust data products

Requirements

What you’ll need

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
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
Strong production mindset, with a focus on observability, reliability, security and maintainability
Experience with data observability tools such as Monte Carlo, or with custom monitoring solutions, is an advantage
Familiarity with data integration tools such as Airbyte or Fivetran is an advantage

Benefits

Comp & perks

6 month contract renewable
Hybrid work arrangement
Modern, flexible employment solutions
Analytics, observability, and production engineering experience opportunities