Analytics Engineer

Alma31·Paris, Parismid

In short

→Ingeniero analítico que construye y estandariza fundaciones de datos para equipos de negocio.
→Cada día trabajas con SQL y modelos de datos, mejorando calidad, trazabilidad y accesibilidad.
→Destacado: Usas un enfoque medallion para crear datasets confiables y autoexplicativos.

B1 minimum

✓ Free to start✓ Runs in your browser✓ First dossier, no card✓ Ready in ~1 minute

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo diseñarías un modelo medallion para datos de riesgo en Snowflake usando dbt?

🔒 +7 more questions

No card. Upload your resume and the full dossier is ready in ~1 minute.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

💵 USD · Remote · No visa

Not finding what you want? Try Micro1

Micro1 places engineers directly at US companies paying in USD. One vetting, multiple offers — no cold applying.

Get matched by Micro1 →

📬Jobs picked for YOUR resume, every morning on WhatsApp. Free: text “vacantes” and the bot sends your daily matches. Subscribe →

What they ask for

✓Experiencia en análisis de datos con SQL avanzado.
✓Conocimiento de metodologías de modelado de datos (ej. medallion).
✓Capacidad para trabajar con datos en entornos de alta volatilidad.
✓Habilidades de comunicación clara con equipos no técnicos.
✓Experiencia en transformación de datos y calidad de datos.
✓Aptitud para trabajar en equipo en entornos ágiles.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

SQLSnowflakedbtAirflowGitGitHubLookerJiraConfluenceSlack

Who should you write to at Alma31?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

🧡 About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 About the team You will join Alma’s central Data team, which supports a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. The team is made up of six Data Analysts, including several experienced colleagues, and works at the intersection of Data Engineering, Data Analytics, and business teams. Reporting to Gil Marlard , you will help strengthen the data foundations that support reporting, analytics, operational processes, and business decision-making. This position is a permanent (CDI) role based in Paris, with a hybrid working model, we are also open to full remote in France. 💼 About the job As an Analytics Engineer, you will help strengthen the data foundations that support the whole organization. The central Data team serves a wide range of business teams, including Finance, Product, Marketing, Risk, and Operations. You will join a team of six Data Analysts, including several experienced colleagues, and work at the intersection of Data Engineering, Data Analytics, and business teams. You will transform raw data into trusted datasets that support reporting, analytics, operational processes, such as deciding which customer to call, and business decision-making. Our data foundations currently have different levels of maturity across business teams, and part of our ambition is to rebuild and standardize some of them. Your work will be particularly important in enabling more self-service and conversational analytics for our business teams, by making data easier to find, understand, trust, and use. A key part of your role will be improving the lineage and governance of our tables, following a medallion-inspired approach with clear layers. Data modeling and data quality <ul class="pb-2 flex flex-col

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.