Junior Data Engineer

Reverse Contact; Paris; On-site; EUR 42,000 - 54,000; Full time

Job summary

Reverse Contact in Paris is hiring a junior data engineer to support the data team and take ownership of our existing data stack. The start date is planned for January 2027, and you will help structure and grow this function, enabling reliable data delivery across the business.

You will work with a modern stack (SQL, Python, PostgreSQL, ClickHouse, Snowflake) to automate ingestion and transformation pipelines, answer product and business questions, and document an end-to-end data quality

Qualifications

• At least 1 year of experience as a data engineer.
• Strong SQL skills with ability to optimize complex queries.
• Solid Python practice for building data pipelines.

Responsibilities

• Take ownership of the existing data platform and become autonomous.
• Automate and industrialize data pipelines for reliable delivery.
• Answer business queries by turning questions into data answers.
• Build and document an end-to-end data quality pipeline.
• Contribute to cross-functional projects and data science topics as needed.

Skills

SQL proficiency

Python

English communication

Curiosity

Startup experience

Tools

PostgreSQL

ClickHouse

Snowflake

Databricks

PySpark

Supabase

S3

Metabase

Claude Code

Job description

Context

We’re hiring a junior data engineer, with a start date planned for January 2027, to support our data engineer and take ownership of our entire existing data stack, helping us structure and grow this function.

Our tech stack: TypeScript, Bun.js, Supabase, PostgreSQL, ClickHouse, Python, PySpark, Databricks, Snowflake, S3, Metabase, and Claude Code.

Mission

• Progressively take ownership of our existing data platform, becoming autonomous on topics currently handled by our data engineer and our QA.

• Automate and industrialize data pipelines (ingestion, transformation) to reduce manual work and ensure reliable delivery.

• Work with the product team to answer business queries, turning business questions into reliable data answers.

• Build and document an end-to-end data quality control pipeline, giving the team a reliable, up-to-date view of production data.

• Be proactive on cross-functional projects and/or data science topics (classification, internal use cases), depending on your interests and appetite to grow the scope of the role.

Hard Skills

At least 1 year of experience as a data engineer, ideally in a production environment with reliability and scaling challenges. You’ve already designed or evolved ingestion and transformation pipelines, and you’re comfortable navigating a modern data stack.Strong command of SQL, with the ability to write and optimize complex queries on large data volumes, with a focus on performance and reliability of analytical processing.Solid Python practice for building robust data processing pipelines, from raw collection through to delivery to business teams.

Soft Skills

Conversational English required. We have several English-speaking team members.Curiosity along with strong written and verbal communication.Comfortable in a fast-moving startup environment.

Nice-to-have

Knowledge of ClickHousePrior experience in data scienceExperience with API-first products