Junior Data Engineer

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 ClickHouse

• Prior experience in data science

• Experience with API-first products

Benefits

• Base salary + variable + equity (TBD): 35k to 38k + ~ 4k bonus

• The opportunity to join a startup with significant day-to-day ownership of data, direct and visible impact, and a possible path toward a senior role. No fixed trajectory.

• 2 days of remote work per week, with a lot of flexibility in how you organize your time and the possibility of remote work during certain periods of the year depending on your needs.

Hiring Process

1. Chief of Staff — intro call

2. VP Engineering + Data Engineer — general discussion

3. Asynchronous technical test

4. Fit interview with the team (in office)

Reference is optional.

Details: 35-hour contract, choice of work equipment, Alan health insurance, ~€14/day meal vouchers.