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VISEO

Global IT consulting for digital transformation

Lead Data Engineer - Cloud Azure and/or GCP

Data EngineeringPosted on Nov 9
Full-timeBoulogne-Billancourt, FranceNo salary listedIn-person

About the Job

Requirements

  • Demonstrated expertise in cloud data architecture and engineering, with solid experience on Microsoft Azure and/or Google Cloud Platform.
  • Ability to design scalable, secure, and high-performing data platforms and large-scale data-processing workflows.
  • Knowledge of Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, Microsoft Fabric, BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Functions, and Looker.
  • Experience using Spark, Azure Databricks, or Dataflow for data processing.
  • Knowledge of DataOps and FinOps practices, CI/CD deployment automation, and platform resilience.
  • Ability to work with BI, Data Science, DevOps, and business teams to translate needs into data architectures.
  • Ability to advise technical and business decision-makers on data and cloud strategy.

Responsibilities

  • Lead the design and architecture of modern, scalable, and secure data platforms in Microsoft Azure and Google Cloud Platform environments.
  • Guide and support Data Engineers in implementing robust, high-performance pipelines while ensuring quality and governance standards.
  • Design and industrialize large-scale data-processing workflows using Spark, Azure Databricks, or Dataflow as appropriate.
  • Establish DataOps and FinOps practices to optimize costs, automate deployments, and ensure platform resilience.
  • Collaborate with BI, Data Science, DevOps, and business teams to translate needs into high-performing, scalable data architectures.
  • Advise clients on building and modernizing data ecosystems on Azure and GCP, including architecture studies, scoping, governance, FinOps, and DevOps.
  • Design high-performance Cloud Data architectures using managed services across Azure and GCP.
  • Lead deployment projects for Modern Data Platforms, including cloud-native applications, data migration, and multi-cloud integration.
  • Ensure technical consistency and deliverable quality, including performance, security, and compliance of data environments.
  • Provide technical leadership to project teams and contribute to collective skills development.
  • Conduct ongoing technology research on Azure, GCP, and emerging tools, frameworks, and services.
  • Share expertise and best practices, coach junior profiles, and foster the technical culture and Data community.

About the Company

VISEO

Global IT consulting for digital transformation

VISEO helps organizations with digital transformation by designing and implementing new experiences, business models, and ways of working. It delivers services across the digital value chain—digital consulting, data science, process automation, and development of digital applications—often through project-based engagements. It partners with SAP, Salesforce, Microsoft, and Anaplan to implement scalable solutions and focuses on data and AI to unlock insights and automate operations. Its goal is to turn technology into practical business improvements, helping clients in luxury goods, retail, industry, and life sciences navigate the digital era and achieve measurable value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boulogne-Billancourt, France
Founded
1999

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