Azure Data Engineer

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Appliances • Industrial • Manufacturing
The Role
Design, build, and optimize scalable Azure data platforms and lakehouse architectures. Develop ETL/ELT pipelines (PySpark, ADF, Fabric), enforce data governance and quality, enable Power BI reporting, lead cloud migration and CI/CD, and provide production support and performance tuning across enterprise data systems.
Summary Generated by Built In

At a Glance

 

Legrand has an exciting opportunity for an Azure Data Engineer to join our Information Technology Team. This is a remote position. 

 

Lead the design, development, and optimization of enterprise data platforms on Azure. This role will be instrumental in advancing our data modernization strategy, including Azure Fabric adoption, data lakehouse architecture, and integration of enterprise systems such as ERP, MDM, and analytics platforms.

 

This role will work closely with business, analytics, and governance teams to deliver scalable, high-performance data solutions that enable trusted, data-driven decision-making.

Responsibilities

What Will You Do?

  • Design and implement scalable data platforms using Azure (ADLS, Azure SQL, Microsoft Fabric).
  • Build and optimize ETL/ELT pipelines using Fabric pipelines, notebooks (PySpark/Spark SQL), and Azure Integration Services (ADF, Logic Apps, Event Grid, Service Bus).
  • Implement Medallion Architecture (Bronze, Silver, Gold) and Lakehouse design patterns.
  • Develop and maintain data models (dimensional, star/snowflake where applicable).
  • Integrate data from heterogeneous sources (ERP, APIs, flat files, streaming sources, MDM/PIM systems).
  • Develop data processing solutions for large-scale structured and unstructured datasets.
  • Enable Power BI datasets and semantic models to support reporting and analytics.
  • Implement CI/CD pipelines and DevOps practices using Azure DevOps, GitHub, Repo.
  • Ensure data quality, governance, lineage, and security using tools such as Microsoft Purview.
  • Collaborate with Product Owners, Scrum Masters, and stakeholders to translate business requirements into technical solutions.
  • Lead performance tuning, optimization, and troubleshooting of data pipelines and queries.
  • Leading cloud migration and modernization initiatives, including legacy system transitions (SSIS, Tabular, Multidimensional cubes).
  • Drive adoption of modern data architecture principles and best practices.
  • Collaborate with team members and contribute to establishing engineering standards and reusable frameworks.
  • Provide ongoing production support and operational maintenance, including monitoring data pipelines, troubleshooting issues, optimizing performance, and ensuring data reliability and availability across the platform.
  • Ability to manage multiple priorities effectively. 
  • Support data team in the IT systems impact assessment when there is a data change requests.
Qualifications
  • Experience with Data management systems and processes:
    • 8+ years of experience in data engineering, data warehousing, and analytics
    • 6+ years of experience in cloud transformation initiatives
    • 5+ years hands-on experience with Microsoft Azure data platform
    • 3+ years hands-on experience with Azure Fabric / lakehouse architecture
  • Azure Data Platform:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Data Factory (ADF)
    • Azure Fabric
    • Azure SQL Database / Data Warehouse
  • Strong experience with Azure Integration Services:
    • Logic Apps, Function Apps, Service Bus, Event Grid, API Management
  • Programming:
    • PySpark, Spark SQL, Python, SQL
    • Notebook-based development (Databricks / Fabric)
    • Infrastructure-as-code (Terraform, ARM templates, Bicep)
  • Data Architecture:
    • Medallion architecture
    • Lakehouse concepts
    • 3NF, Data warehouse, Dimensional modeling
  • Integration:
    • REST APIs, JSON, XML, OData, event-driven architectures
  • DevOps:
    • Azure DevOps (ADO), GitHub, Jenkins
    • CI/CD pipelines, version control, automation
  • Reporting:
    • Power BI, Semantic Models
  • MSBI (Preferred):
    • Microsoft BI Stack – SSIS, SSRS, SSAS
  • Soft Skills:
    • Strong communication and ability to engage with business and technical stakeholders
    • Ability to translate business requirements into scalable technical solutions
    • Strong analytical and problem-solving skills
    • Experience working in Agile/Scrum environments

       
    • Proactive and adaptable, with the ability to deliver results in evolving environments

      with a “get it done” mindset in fast-paced environments

    • Proven ability to collaborate across cross-functional teams
    • Demonstrates excellent interpersonal skills with a balanced, collaborative communication style
    • Experience with 3rd party development partners

Education:

  • Bachelor’s degree required, preferably in technical discipline
  • Prefer Microsoft certifications in Azure or Fabric
  • Prefer Prior experience in manufacturing, supply chain, or distribution domains
About Us

About Legrand

Legrand is the global specialist in electrical and digital building infrastructures. Our comprehensive offering of solutions for residential, commercial, and data center markets makes us a benchmark for customers worldwide. We harness technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work, and meet with electrical and digital infrastructures and connected solutions that are simple, innovative, and sustainable. Legrand is a global, publicly traded company listed on the Euronext (Legrand SA EPA: LR). For more information, visit www.legrandgroup.com/en

 

 About Legrand North and Central America

Legrand, North & Central America (LNCA) is a leader in the AV, Lighting & Controls, Electrical, and Data Center markets. LNCA offers comprehensive medical, dental, and vision coverage, as well as distinctive benefits like a high employer 401K match, paid time off (PTO) and holiday pay, short-term and long-term disability benefit plans, above-benchmark paid maternity and parental leave, bonus opportunities in accordance with the Company’s incentive plans, paid time off to volunteer, and an active/growing Employee Resource Group network. For more information, visit legrand.us

 

http://www.legrand.us

http://www.youtube.com/legrandna

http://www.linkedin.com/company/44580

http://twitter.com/legrandNA

 

Equal Opportunity Employer


Skills Required

  • 8+ years of experience in data engineering, data warehousing, and analytics
  • 6+ years of experience in cloud transformation initiatives
  • 5+ years hands-on experience with Microsoft Azure data platform
  • 3+ years hands-on experience with Azure Fabric / lakehouse architecture
  • Experience with Azure Data Lake Storage (ADLS Gen2)
  • Experience with Azure Data Factory (ADF)
  • Experience with Azure SQL Database / Data Warehouse
  • Experience with Logic Apps, Function Apps, Service Bus, Event Grid, API Management
  • Proficiency with PySpark, Spark SQL, Python, SQL
  • Notebook-based development experience (Databricks / Fabric)
  • Infrastructure-as-code experience (Terraform, ARM templates, Bicep)
  • Experience with Medallion architecture, Lakehouse, 3NF and dimensional modeling
  • Integration experience: REST APIs, JSON, XML, OData, event-driven architectures
  • DevOps experience: Azure DevOps (ADO), GitHub, Jenkins, CI/CD pipelines
  • Power BI and semantic model development experience
  • Bachelor's degree, preferably in a technical discipline
  • Experience working in Agile/Scrum environments
  • Strong communication and stakeholder engagement skills
  • Microsoft BI Stack - SSIS, SSRS, SSAS
  • Microsoft Azure or Fabric certifications
  • Prior experience in manufacturing, supply chain, or distribution domains
  • Experience with third-party development partners
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The Company

What We Do

BTicino, a premium brand of the Legrand Group, is a global leader in electrical and digital infrastructure solutions. The company produces and sells electrical and digital equipment for residential, commercial, and industrial applications, focusing on energy distribution, communication systems, and smart home automation.

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