Data engineer python stagiaire

As a Series A, product-led growth company, we’ve built an early data stack and now need our first Data Engineer to dedicate themselves solely to building and owning our data platform. This person will live at the intersection of data infrastructure and go-to-market, partnering deeply with our Sales, Marketing, and Engineering teams to drive fast, reliable insights that fuel growth.

End-to-End Data Platform Architecture

Design, build, and maintain ingestion pipelines from Segment & HubSpot into BigQuery.
Collaborate via PRs: draft the spec, review front-end analytics.track() implementations, and own CI smoke tests to validate payloads.
Reverse-ETL & Data Activation

Automate lead scoring, account segmentation, and churn prediction signals.
Build and maintain dashboards in Looker/Metabase/Superset that track funnel conversion, campaign performance, and product usage trends.
Partner with GTM stakeholders to triage ad-hoc analyses, produce weekly reports, and enable data-driven decision-making.
Stand up basic A/B test pipelines (data capture, analysis templates) to optimize onboarding flows and marketing campaigns.

3+ years building data infrastructure at early-stage startups or high-velocity teams.

• Solid understanding of event tracking best practices: event schema design, payload validation, instrumentation reviews.
• Excellent communication: you can write clear event specs, document data models, and lead cross-functional working sessions.
• Proficiency in dbt (or equivalent ELT framework) and production-grade Python or SQL.
• Familiarity with data-quality frameworks and BI & Product Analytics tools (Looker, Metabase, Mixpanel).
• Familiarity with marketing automation principles and CRM workflows in a PLG environment is a plus.

You’ve built data pipelines and also dipped your toes in product instrumentation, reverse-ETL, and BI.
Comfortable authoring and reviewing PRs, writing Python/SQL for ETL, and collaborating with software engineers.
Understands how data infrastructure supports business results and data science work. Designs pipelines and integrations with end users in mind (e.g., model training, reporting), proactively monitors data quality, and takes ownership of keeping critical datasets reliable and usable.
You care about scalability, drift-detection, and minimizing technical debt from day one.
As our founding Data Engineer hire, you will:

Shape the foundation of our data platform and be the go-to expert for all things data.
Be the bridge between our product data and our go-to-market efforts, directly influencing revenue and customer growth.
Mentor future hires (data analysts, data engineers) and establish best practices for data at scale.

If you’re passionate about building data-driven systems that power real-time insights and customer-centric automation, we’d love to hear from you.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, marital status, veteran status, or disability status.