Data Engineer, GCP

Onepoint

. Audit clients’ cloud configurations and provide recommendations for improvement .

Posted 11/6/2026full-timeToulouse • FranceMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable data architectures and processing pipelines using GCP and associated technologies. Proficient in implementing automation best practices and collaborating effectively with clients and teams.

Highest-signal resume keywords

Data Engineering ExperienceCloud Technologies ExpertiseGCP ProficiencyData Pipeline DevelopmentAutomation Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentCloud-Native Data ArchitecturesBigQueryRedshiftMongoDBSparkDataflowPythonGoJava

Soft Skills

Proactive MindsetCollaborative ApproachSupportive Attitude

Tools & Technologies

DockerKubernetesTerraformCloudFormationAnsibleGitLabGitHubPub/SubSQSAirflow

Industry Keywords

Cloud ConfigurationsCI/CDDevOps Best PracticesETLELTData ScienceMachine LearningConsulting EngagementsOperational HandoverData Warehousing

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAnsibleBigQueryCloudDockerETLGoogle Cloud PlatformJavaKafkaKubernetesMongoDBPythonSparkTerraformTypeScriptGo

About the role

Key responsibilities & impact

Audit clients’ cloud configurations and provide recommendations for improvement
Propose cloud-native data architectures on GCP
Build highly scalable data warehouses using BigQuery, Redshift, MongoDB, Athena, Cloud SQL, and Firestore
Develop data processing pipelines with Spark, Dataflow, Pub/Sub, and SQS
Analyze data and make it available to Data Science and Machine Learning processes
Support client onboarding by promoting Cloud and DevOps best practices and principles
Implement automation best practices, including CI/CD and GitOps
Lead the deployment, integration, and operational handover of solutions
Collaborate with teams and clients on consulting and technology engagements

Requirements

What you’ll need

Several years of experience as a Data Engineer
Experience building data pipelines and implementing automated data processing
Strong interest in Cloud technologies
Experience with GCP
Proactive, collaborative, and supportive mindset
Proficiency in or experience with technologies from the broader technical ecosystem, depending on the engagement: ETL, ELT, Dataflow, Spark, Airflow, GCP Workflows, BigQuery, Firestore, Redshift, Athena, MongoDB, Docker, Kubernetes, Istio, Kafka, Pub/Sub, Terraform, CloudFormation, Ansible, GitLab, GitHub, GCP, Python, Go, and Java

Benefits

Comp & perks

Live community events to connect and come together
Regular events and activities for sharing and celebrating
Sports and leisure activities, including music, photography, e-sports, and yoga
A culture of knowledge sharing, innovation, and continuous learning
Access to more than 200 training courses through the Onepoint School
Personalized career paths and development opportunities in business management or technical expertise
Flexible working arrangements supported by a remote-work policy
Access to an on-site medical clinic
Working groups dedicated to equality and inclusion initiatives
An inclusive company with a strong diversity policy