Junior Data Engineer

GitGuardian

. Build data foundations for AI agents through warehouse and data model design .

Posted 10/7/2026full-timeParis • FranceJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, focusing on SQL and Python for data modeling and pipeline orchestration. Collaborates effectively with cross-functional teams to define business metrics and ensure data quality and accessibility.

Highest-signal resume keywords

SQLPythonData ModelingSnowflakePipeline Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingDimensional ModelingBusiness MetricsData Pipeline DevelopmentData Quality AssuranceData IngestionData DocumentationData Architecture

Soft Skills

CommunicationCollaborationProblem-SolvingAdaptabilityAttention to Detail

Tools & Technologies

SnowflakeClickHouseDagsterDockerTerraformAWSPySparkSnowpark

Industry Keywords

Data EngineeringAI AgentsFinance DataHR DataMarketing AnalyticsSales AnalyticsProduct AnalyticsHigh-Growth StartupsScale-UpsAgentic Systems

Tech Stack

Tools & technologies

AWSDockerPySparkPythonSQLTerraform

About the role

Key responsibilities & impact

Build data foundations for AI agents through warehouse and data model design
Expand warehouse coverage to Finance and HR data with rigor, access control, and confidentiality
Strengthen Marketing, Sales, and Product Analytics data domains on Snowflake and ClickHouse
Develop trustworthy data models and clearly defined business metrics
Write SQL and Python data models using Snowpark and PySpark
Own data topics end to end, from ingestion through business-user consumption
Collaborate with Sales, Marketing, Finance, HR, and Product stakeholders to define business metrics
Build and orchestrate pipelines with Dagster
Deploy pipelines with Docker and Terraform on AWS
Monitor pipelines, investigate data issues, and respond to company-wide data requests
Maintain code quality through reviews, tests, and documentation
Collaborate with AI Engineers to support internal AI tools
Participate in interviews involving Python coding, data architecture, communication, and reasoning

Requirements

What you’ll need

A first experience in data engineering, such as an internship, apprenticeship or up to about 2 years in a role
Strong SQL and good Python skills
Understanding of data modeling concepts, including dimensional modeling, fact and dimension tables, and business metrics
Ability to navigate an existing, complex code base and learn quickly
Comfort communicating with non-technical stakeholders, asking the right questions, and explaining choices
High standard for quality; data should be correct, tested, and documented
Fluent English in an international environment
Availability to work from the office 3 days a week
Experience with Snowflake and/or ClickHouse is beneficial but not required
Familiarity with agentic systems or LLM-based architectures applied to data pipelines is beneficial but not required
Experience in high-growth startups or scale-ups is beneficial but not required

Benefits

Comp & perks

Diverse, equitable and inclusive workforce commitment
Coffee with team members during the final onsite interview