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Vusion

IoT-powered digitalization of physical retail

Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeÎle-de-France, France€48k - €50k /yr

About the Job

Requirements

  • The candidate must have 5 to 8 years of experience in Data Engineering or DataOps with production delivery.
  • The candidate must be proficient in SQL and Spark and have practical experience with Databricks Jobs/Workflows and Delta, including cost and performance optimization using autoscaling, spot instances, and tuning.
  • The candidate must have a strong understanding of governance with Unity Catalog, including role-based access control, lineage, and personally identifiable information.
  • The candidate must have a continuous integration and continuous delivery mindset and an observability culture, including automated tests, metrics, alerts, and runbooks.
  • The candidate must have teamwork and communication skills to collaborate with cross-functional teams.

Responsibilities

  • Evaluate existing data flows, including batch and streaming, orchestration, models, and cost/performance, and define target patterns using Delta Lake, Databricks Jobs/Workflows, and dbt models.
  • Rewrite pipelines using Kubernetes, Airflow, Spark, and SQL, and replatform models in dbt with naming conventions, tests, and documentation.
  • Integrate assets into Unity Catalog, structure catalogs and schemas, and manage permissions, including role-based access control, lineage, and data/PII masking.
  • Implement robust, fault-tolerant systems for data ingestion and processing.
  • Strengthen data CI/CD with dbt tests in pull requests, linting, schema checks, and orchestration retries, backoff, dependencies, and service-level agreement compliance.
  • Deploy end-to-end observability for pipeline metrics, freshness, and test coverage, and configure alerts with playbooks and mean time to repair objectives.
  • Define and monitor data contracts and service-level objectives with consuming teams and ensure compliance.
  • Maintain catalogs, metric definitions, and change logs, and create standardized runbooks for data audits and deployments.
  • Optimize Delta tasks and tables through partitioning, Z-Order, OPTIMIZE, and autoscaling, and monitor costs and performance, including budgets and unit economics per pipeline.
  • Work with data science, infrastructure, software, product, and consulting teams to understand data needs and provide solutions.
  • Collaborate with Client Analytics Engineers to translate retailers' needs into reliable, maintainable models.
  • Share best practices, including dbt models, integration guides, and quality checklists.
  • Train team members in SQL querying in Databricks and lead updates during Data Domain sessions.
  • Deploy existing guidance to migrate ingestion/ELT pipelines to Databricks Jobs/Workflows and Spark/SQL, and migrate dbt models with tests and documentation.
  • Create standardized code blocks for the team and manage accepted pull requests to limit technical debt.
  • Deploy observability dashboards and alerts in Datadog and reduce mean time to repair using actionable runbooks.
  • Manage datasets in Unity Catalog, including catalogs, schemas, tables, lineage, access, and masking, to ensure compliance and security.
  • Drive data contracts and service-level objectives, and monitor freshness, quality, and schema drift.
  • Maintain clear documentation and provide templates to accelerate subsequent migrations.

Desired Qualifications

  • Practical experience with dbt models, tests, and documentation, or experience with other testing approaches.
  • Ideally, experience with Datadog for observability.
  • Knowledge of containers such as Docker or Kubernetes, streaming technologies such as Kafka or Event Hubs, and orchestrators such as Airflow, Prefect, or Dagster.
  • Experience in retail data analysis, including sales, margins, promotions, and loyalty.

About the Company

Vusion

IoT-powered digitalization of physical retail

VusionGroup digitalizes brick-and-mortar retail by offering hardware and software that turn stores into connected, data-driven assets, using electronic shelf labels (ESLs) and a cloud platform to manage pricing, inventory, and store data. Its SESimagotag smart labels automatically update prices and product information, while VusionCloud acts as the central IoT backbone that collects and analyzes data from stores. The company differentiates itself with an end-to-end, cloud-connected hardware-and-software platform built and expanded through strategic acquisitions (e.g., In the Memory, Belive.ai) to enable in-store analytics, computer vision, retail media, and data monetization, serving large retailers like Walmart and Carrefour. Its goal is to help retailers reduce stockouts and waste, optimize pricing and operations, automate repetitive tasks, and unlock new revenue streams from data and in-store advertising.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Milpitas, CA
Founded
2006

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