🇫🇷 Paris, France · 15h ago

Junior Data Engineer

Reverse Contact

LinkedInjuniorEnglish-friendly
We're a startup moving as fast as possible, willing to make mistakes and course-correct, with the ambition to build the best product on the market.At Reverse Contact, we build the B2B identity resolution API for modern software companies. We help B2B products, SaaS companies, AI tools, and data teams resolve professional identities from fragmented signals: emails, social media URLs, names, domains, IP addresses, phone numbers, and more.Data is at the core of everything we do. Our systems process and maintain over a billion data points, and keeping that volume accurate, up to date, and instantly queryable is both one of the most challenging and most exciting parts of the job.Based in the heart of Paris, in the 3rd arrondissement, our team of 12 is split across Tech (4), Data (1), Product (1), Sales (3), CS (1), Ops (1), and the CEO.ContextWe'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.MissionProgressively 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 SkillsAt 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 SkillsConversational 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-haveKnowledge of ClickHousePrior experience in data scienceExperience with API-first productsBenefitsBase salary + variable + equity (TBD): 35k to 38k + ~ 4k bonusThe 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 ProcessChief of Staff — intro callVP Engineering + Data Engineer — general discussionAsynchronous technical testFit interview with the team (in office)Reference is optional.Details: 35-hour contract, choice of work equipment, Alan health insurance, ~€14/day meal vouchers.

Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.