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Data Engineer Big Data – Expertise Vertica (H/F)

CITECH Open · verified Oct 24, 2026
Remote Lille Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at CITECH. Remote, France · full-time · no salary stated · we estimate €41,500–€47,500 across France.

Estimated pay

CITECH has not published a salary for this role. The figure below is our estimate, not theirs.

€41,500 – €47,500
What the middle half of mid-level data engineering roles in France paid, among postings that did state a salary.
Worked out from 11 postings that stated pay, median €45,000. Last updated Oct 13, 2026.
RoleData Engineering
SeniorityMid-level
LocationLille
WorkplaceRemote
EmploymentFull-time
PostedSep 24, 2026 · 4w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set up and run Big Data platforms, then maintain and extend their underlying infrastructure
  • Install Vertica, keep it running, and tune its performance
  • Help BI and data teams use the platforms and handle complex third-level support issues
  • Contribute to technical changes that improve platform performance

What you bring

  • A higher education qualification in computer science
  • Practical Big Data or distributed-database experience, plus some production use of Vertica
  • Vertica expertise is essential, alongside Linux and Shell or Python scripting

Who this fits

This is an infrastructure-focused data engineering role, rather than data science or analytics. It suits someone comfortable working independently on technically complex systems. The role is based in Lille, and all positions are open to candidates with RQTH status.

From the employer

CITECH recrute ! 🚀

✨ Vous souhaitez intervenir sur des plateformes Big Data à grande échelle et contribuer à des projets stratégiques liés à la data ? Nous avons LA mission pour vous !

Nous recherchons en effet un(e) Data Engineer Big Data – Expertise Vertica (H/F)

Notre client est un acteur majeur disposant d’infrastructures data volumineuses, utilisées par de nombreuses équipes BI et Data.

👉 Votre mission :

Au sein de l’équipe Big Data, vous interviendrez sur la mise en place et l’exploitation des plateformes de données.

À ce titre, vos principales missions seront :

  • Administrer et faire évoluer les infrastructures Big Data
  • Intervenir sur le moteur Vertica (installation, exploitation, optimisation)
  • Assurer le maintien en condition opérationnelle des plateformes
  • Accompagner les équipes BI/Data dans l’usage des infrastructures
  • Participer aux évolutions techniques et à l’amélioration des performances
  • Intervenir en support niveau 3 sur des problématiques complexes

👉 Le poste est orienté infrastructure data (et non data science / analytics).

Qualifications

🎓 Formation & expérience

  • Formation supérieure en informatique
  • Expérience en environnement Big Data / bases distribuées
  • Expérience concrète sur Vertica (même courte en production)

⚙️ Compétences techniques attendues

✔️ Vertica – Indispensable
✔️ Linux
✔️ Scripting (Shell / Python)
✔️ ELK (Elastic, Logstash, Kibana)
✔️ MongoDB / Hadoop (connaissances appréciées)

🧠 Soft skills

✔️ Forte expertise technique
✔️ Capacité à intervenir en autonomie
✔️ Esprit d’analyse
✔️ Appétence pour les environnements complexes

📍 Localisation : Lille
📅 Démarrage : ASAP
💰 Salaire CDI : 40 – 60 K€

☑️ Tous nos postes sont ouverts aux personnes possédant le statut RQTH.

Pourquoi rejoindre CITECH ?

  • Projets Big Data à grande échelle
  • Environnements techniques riches et complexes
  • Missions longues durées
  • Accompagnement personnalisé
  • Ambiance conviviale (afterworks 😉)
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.