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Arcadis

Global design, engineering, consultancy for assets

Azure Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Possess strong design and coding skills and experience owning the complete software development life cycle in a DevOps environment.
  • Have strong database concepts, data modeling, stored procedures, complex query writing, and SQL query performance optimization skills.
  • Have strong experience with T-SQL, SSIS, SSAS, SSRS, Azure Data Factory, Azure Data Lake Store, Azure SQL Database, Azure SQL Data Warehouse, Azure Analysis Services, DAX, Azure Databricks with Python or Scala, TFS, Azure Repos, and Power BI.
  • Have at least 3 years of hands-on experience with the Azure Data Platform and 6–12 years of experience with MSBI.
  • Have intermediate-level hands-on experience with Microsoft Fabric, including Pipelines, Dataflows Gen2, ADLS Gen2, Notebooks, Lakehouse, Warehouse, and Delta tables.
  • Have expertise in SQL, including complex transformations, joins across modules, optimization, and indexing strategies.
  • Have strong hands-on experience with PySpark, Delta Lake operations, and scalable distributed processing.
  • Be able to build scalable and optimized data pipelines following best engineering practices.
  • Have experience with performance tuning, query optimization, and pipeline runtime improvement.
  • Understand incremental versus full-load mechanisms, including change detection, Delta merge operations, surrogate key handling, and data reconciliation.
  • Have experience with Fabric notebooks, merging and joining large datasets, and handling incremental versus full loads.
  • Have a Bachelor's degree in Engineering, Mathematics, Statistics, Econometrics, or a related discipline.
  • Have the ability to understand the business logic behind systems.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in the Microsoft Azure Data Platform.
  • Lead the craftsmanship, security, availability, resilience, and scalability of solutions.
  • Build end-to-end solutions using the Azure data analytics platform.
  • Build reusable generic framework solutions for similar future use cases.
  • Build Azure data analytics solutions using a DevOps continuous integration and continuous delivery approach.
  • Develop, maintain, publish, and support dashboards using Power BI, including publishing dashboards to Power BI Service and using Power BI gateways, Power BI Report Server, and Power BI Embedded.
  • Mentor peers to develop expertise in Azure data platform solutions.

Desired Qualifications

  • Experience with Azure Data Lake Analytics is good to have but not mandatory.

About the Company

Arcadis

Global design, engineering, consultancy for assets

Arcadis is a global design, engineering, and consultancy firm that creates and manages natural and built assets. It operates across the Americas, Europe, the Middle East, and the Asia Pacific, serving governments, public agencies, and private companies. Its four business areas—Places, Mobility, Resilience, and Intelligence—cover sustainable buildings and urban development, transportation infrastructure, climate adaptation, and data-driven digital solutions to optimize asset performance. The company earns fees for its integrated services that combine planning, design, engineering, and advisory work. Arcadis differentiates itself through its global reach and its integrated, multi-disciplinary approach that links physical design with data analytics and digital insights to deliver high-value solutions. Its goal is to help clients create and maintain sustainable, resilient, and efficient assets while improving decision-making and performance across complex projects.

Company size
10,001+
Company stage
IPO
Headquarters
Watermael-Boitsfort, Belgium
Founded
1888

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