Postuler Contacter

Sr. Azure Data Engineer / Release Manager

Ref : 260611C003
  • Date de début
    24/08/2026
  • Localisation

    75008 PARIS

  • Durée
    12 mois (renouvelables)
  • Profil

    Consultant, Développeur, Consultant assurance

  • Tarif Journalier Moyen
    Voir le tarif
Logo client
Compétences requises
SQL Azure Data Factory Databricks Anglais Français
Description de la mission

Lenstra was founded by passionate computer science engineers with a proven track record of delivering high-quality solutions. By combining technical excellence with a strong vision, we support top-tier clients across industries such as Banking & Insurance, Luxury, and Technology.

Our expertise is structured around four core pillars: Software Development, DevSecOps, Data & AI, and Product. Through a holistic understanding of our clients’ environments, we help them address their most complex challenges—from building robust software and secure cloud platforms to designing data-driven solutions that accelerate business impact.


We are currently seeking a talented Azure Data Engineer Consultant to join our team for a major payer. The successful candidates will:

Data Engineering the processes related to the sustainability of data topics;

Engage with internal clients and product-based teams to ensure their requirements

are understood and adequately supported;

Support solution design of Data Pipelines, processes re-engineering and monitoring;

Create, maintain, and support data deliveries & dashboards for business users;

Work along and support Front-end developers;

Create adequate documentation.



You may be a good addition to our team if:

You have at least a couple of years working as SQL developer;

Acted as a Data Engineer on the Azure ecosystem: DataFactory, Azure

SQL and Databricks;

Master DevOps: GitHub Actions for automated Release processes;

Have a good understanding of data models, knowledge of data analytics tools, Python,

SQL; experience developing PowerBI dashboards;

Have experience with cloud-based implementations and related tools (e.g. Azure

Databricks, Azure Data Factory, etc.).


Our recruitment process consists in 3 interviews:

1 introductory call with the recruiter;

1 role alignment interview with our co-founder;

1 technical dive deep with one of our consultants.


We are happy to provide any preparation support and answer to any of your questions so do not hesitate to apply or reach out.

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