Junior Data Engineer: AI-Driven Data Pipelines

GitGuardian; Paris; On-site; EUR 60,000 - 90,000; Full time

Job summary

GitGuardian is seeking a Data Engineer to join the Data & AI Engineering team in Paris. You will write data models as code, own end-to-end data topics, and collaborate with Sales, Marketing, Finance, HR and Product to define metrics.

You will build pipelines with Dagster and deploy on AWS using Docker and Terraform, while keeping data governance and quality at the forefront. Strong SQL and Python skills, plus experience with Snowflake/ClickHouse, are essential.

Qualifications

• First experience in data engineering, such as an internship or up to 2 years in a role.

Responsibilities

• Write data models as code daily (SQL, Python with Snowpark and PySpark) to deliver new data for business insights.
• Own topics end to end, from ingestion to consumption by business users.
• Work with internal stakeholders (Sales, Marketing, Finance, HR, Product) to understand needs and turn them into metrics.
• Build and orchestrate pipelines with Dagster, and deploy with Docker and Terraform on AWS.
• Take part in the run: monitor pipelines, investigate data issues, and answer data requests.
• Keep the code base healthy through reviews, tests, and documentation.
• Work closely with the squad's AI Engineers so data powers internal AI tools.

Skills

SQL

Python

Data modeling

Stakeholder communication

Quality mindset

English

Office presence

Tools

Dagster

Snowflake

ClickHouse

Snowpark

PySpark

Docker

Terraform

AWS

GitLab

CI/CD (ArgoCD)

Job description

GitGuardian is seeking a Data Engineer to join the Data & AI Engineering team in Paris. You will write data models as code, own end-to-end data topics, and collaborate with Sales, Marketing, Finance, HR and Product to define metrics.

You will build pipelines with Dagster and deploy on AWS using Docker and Terraform, while keeping data governance and quality at the forefront. Strong SQL and Python skills, plus experience with Snowflake/ClickHouse, are essential.