Resume example 2026
Data Engineer resume: template, ATS keywords, mistakes to avoid
The complete guide to building a Data Engineer resume that passes ATS filters and holds recruiters' attention.
The essential point: Le Data Engineer est jugé sur la fiabilité, pas sur la nouveauté : un pipeline qui tourne sans surveillance pendant six mois vaut mieux qu'une stack à la mode qui casse chaque nuit. La compétence rare, c'est de raisonner volumétrie, idempotence et coût cloud avant d'écrire une ligne.
Recommended resume structure
Recruiters scan a Data Engineer resume in 7 seconds on average. The top third must carry 80% of the signal. Here is the order that works best for this job:
- 1
Header
First name + last name, Data Engineer title (or equivalent: Ingénieur data, Ingénieur pipelines de données), email, phone, LinkedIn, city.In France: no mandatory photo, no age, no family status.
- 2
Professional summary (3-4 lines)
The hook — what you do, for whom, with what standout result. Avoid empty adjectives ("passionate", "dynamic"). Place 2-3 priority ATS keywords here.
- 3
Professional experience
The most-read section. Each experience follows the STAR structure: Situation / Task / Action / Result. Prioritize the responsibilities tied to the target job posting.
- • 3-5 bullets per role maximum
- • Each bullet: action verb + object + quantified result
- • Typical responsibilities for a Data Engineer: Concevoir des pipelines ETL ; Modéliser des entrepôts et ; Orchestrer les traitements (Airflow,...
- 4
Education
Prioritize the most recent and most recognized degree. For a Data Engineer, the most valued credentials are: École d'ingénieur informatique, Master informatique / data engineering.
- 5
Technical skills
A precise, categorized list (technical / tools / languages). Avoid percentage charts: ATS don't read them.
- 6
Certifications & projects (optional)
Recognized certifications, published personal projects (GitHub, portfolio, blog). For a Data Engineer, this is often what sets two equivalent junior profiles apart.
The 11 ATS keywords to include in your Data Engineer resume
These are the keywords that ATS (Workday, Greenhouse, Taleo…) scan in Data Engineer resumes. Naturally including half of them significantly improves your chances of passing the first automatic filter.
Caution: don't copy the whole list. Only include keywords for which you have real experience — a recruiter who reads "SAP" expects you to be able to discuss it.
The 4 fatal mistakes on a Data Engineer resume
These are patterns we see constantly that disqualify a resume in 3 seconds. Check each one before you send.
Ne jamais préciser la volumétrie traitée (Go, To, nombre d'événements/jour)
Présenter des scripts ponctuels comme des pipelines industrialisés
Oublier le monitoring et la qualité de données dans les réalisations
Ne pas parler des coûts cloud alors que c'est un enjeu majeur
The 5 classic interview questions for Data Engineer
If you land an interview, prepare concrete answers for each of these questions. Use the STAR framework: Situation, Task, Action, Result.
- 1
« Comment tu rends un pipeline idempotent et rejouable sans dupliquer la donnée ? »
- 2
« Tu dois recalculer 2 ans d'historique (backfill). Comment tu t'y prends ? »
- 3
« Batch ou streaming pour ce cas d'usage, et pourquoi ? »
- 4
« Modélise-moi un schéma en étoile pour un suivi de ventes. »
- 5
« Un job Airflow échoue chaque nuit à 3 h. Comment tu diagnostiques ? »
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