Senior Data Engineer

Agicap

. Maintain and ensure the reliability of the platform using Composer/Airflow, self-hosted Airbyte on GKE, BigQuery, dbt, and Terraform .

Posted 10/14/2026full-timeRemote • FranceSenior💰 €60,000 - €70,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a focus on maintaining production systems, developing data ingestion pipelines, and optimizing SQL and dbt models. Proficient in using cloud technologies and Infrastructure as Code to enhance data operations and support analytics.

Highest-signal resume keywords

Data Engineering ExperienceStrong SQL SkillsPython ProficiencyInfrastructure as CodeGCP Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDbtPythonData IngestionPipeline OrchestrationChange Data CaptureBigQueryTerraformComposerAirflow

Soft Skills

ProactiveRigorousHumbleKnowledge SharingCollaboration

Tools & Technologies

AirbyteGKECloud RunHubSpotGainsightIntercomPub/SubMCP Analytics LayerGCP Knowledge CatalogCI/CD

Industry Keywords

Data GovernanceEvent-Driven ArchitecturesSemantic LayerIncident ManagementFinOps

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformPostgresPythonSQLTerraformTypeScript

About the role

Key responsibilities & impact

Maintain and ensure the reliability of the platform using Composer/Airflow, self-hosted Airbyte on GKE, BigQuery, dbt, and Terraform
Own day-to-day operations: incident management and support for Data Analysts
Design and enhance technical and functional testing, monitoring, and alerting
Industrialize data ingestion through Airbyte; manage schema evolution and BigQuery external tables
Supply business tools through reverse ETL and synchronizations with HubSpot, Gainsight, Intercom, and PostgreSQL
Develop the webhooks → Pub/Sub → Cloud Run streaming architecture
Extend the MCP Analytics layer to BigQuery and build the semantic layer to improve AI responses
Manage costs and security: BigQuery slots, dbt routing, FinOps reviews, least privilege, and securing AI data access
Participate in architecture decisions, code reviews, documentation, and continuous improvement
Collaborate with Data Engineers, Data Analysts, and the Head of Data

Requirements

What you’ll need

At least 5 years of Data Engineering experience with a major cloud provider, including responsibility for maintaining production systems
Strong SQL skills and experience with complex dbt models (incremental materializations, snapshots, macros), with the ability to debug and optimize
Solid experience ingesting data and orchestrating pipelines: debugging, schema drift, recovery, backfills, and impact analysis
High-quality, well-tested, and proficient Python skills
Daily use of Infrastructure as Code and CI/CD
Experience working with a Coding Agent and the ability to review and validate its output
Proactive, rigorous, humble, and passionate about sharing knowledge and helping colleagues grow
Comfortable working in a partially remote team
Minimum B2 level of English
Experience with a semantic layer, GCP Knowledge Catalog, or data governance—a major plus
Experience with event-driven architectures—a major plus
GCP experience: BigQuery, Composer, Cloud Run, GKE / Helm—a plus
Experience building tools for AI agents—a plus
Experience with HubSpot, Gainsight, and Intercom integrations—a plus
Experience building data pipelines using Change Data Capture—a plus
Contributions to the Airbyte ecosystem—a plus

Benefits

Comp & perks

SYNTEC vacation bonus
39-hour workweek, including 4 paid overtime hours
25 days of paid vacation plus 10 flexible days off (available from your start date)
Alan health insurance (family coverage available)
Swile meal vouchers (€11/day, including €6.50 covered by the company)
Works Council benefits: annual gift card, Gymlib / EGYM Wellpass, and more
Fully remote, with occasional trips to Lyon for team events