Azure Data Engineer

Reposted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Other • Analytics • Design
The Role
Design, develop, test and support end-to-end Azure data analytics solutions. Build scalable, optimized data pipelines (Fabric, ADF, Databricks, Delta), perform SQL/PySpark transformations, implement CI/CD, publish Power BI dashboards, and mentor peers.
Summary Generated by Built In

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.

We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.

Role description:

ARCADIS is looking for Azure Data Engineer with a passion to drive and execute Digital to the core of everything we do. We firmly believe in “Everything Digital, Digital Everything”. We are transforming, we are reimagining the industry and we are reimagining how communities and nations can help becoming more sustainable places to live for today and future generations. 

Technology is the core and integral part of what we do, all the way for empowering Arcadians to harnessing power of data and AI/ML for sensors, IIOT and Advanced Drones, the technology teams are Dreaming Big and Delivering on future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers across multiple locations in North America.

Role accountabilities:

  • Possess excellent design and coding skills and a zeal for owning the complete SDLC of building applications in a DevOps environment
  • You are excited about working with Azure Data Platform
  • challenges while building the next wave of software engineering solutions
  • Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform
  • Leading the craftsmanship, security, availability, resilience, and scalability of your solutions
  • Very strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries.
  • Strong experience in
  • T-SQL, SSIS, SSAS, SSRS
  • Azure Data Factory
  • Azure Data Lake Store
  • Azure Data Lake Analytics (Good to have, not mandatory)
  • Azure SQL DB
  • Azure SQL DW
  • Azure Analysis Services, DAX
  • Azure Data Bricks with Python/Scala
  • Experience in building end to end solution using Azure data analytics platform.
  • Experience in building generic framework solution which can be reused for upcoming similar use cases.
  • Experience in building Azure data analytics solutions with DevOps (CI/CD) approach.
  • Experience in using TFS, Azure Repos.
  • Mentor peers to gain expertise on Azure data platform solutions skills.
  • Experience in developing, maintaining, publishing, and supporting dashboards using Power BI.
  • Strong experience in publishing dashboards to Power BI service, using Power BI gateways, Power BI Report Server & Power BI Embedded

Qualifications & Experience:

Basic Qualifications:

  • Bachelor in Engineering/Math/Statistics/Econometrics or related discipline
  • Should have 3-8 years of experience in MSBI with relevant hands-on experience in Azure Data Platform (must) for a minimum of 3 years.

Required Skills & Experience

  • Intermediate-level hands-on experience with Microsoft Fabric:
    Pipelines, Dataflows Gen2, ADLS Gen2, Notebooks, Lakehouse, Warehouse, Delta tables.
  • Expertise in SQL (complex transformations, joins across modules, optimization, indexing strategies).
  • Strong hands-on experience in PySpark, Delta Lake operations, and scalable distributed processing.
  • Ability to build scalable and optimized data pipelines following best engineering practices.
  • Experience with performance tuning, query optimization, and pipeline runtime improvement.
  • Strong understanding of incremental load vs. full load mechanisms, including change detection, Delta merge operations, surrogate key handling, and data reconciliation.
  • Experience working with Fabric notebooks, merging/joining large datasets, and handling incremental vs full loads.
  • Good communication and ability to understand business logic behind systems.

Why Arcadis?

We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.

You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.

Together, we can create a lasting legacy.

Join Arcadis. Create a Legacy.

Our Commitment to Equality, Diversity, Inclusion & Belonging

We want you to be able to bring your best self to work every day, which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people.

Skills Required

  • Bachelor in Engineering, Math, Statistics, Econometrics or related discipline
  • 3+ years experience in MSBI and minimum 3 years hands-on with Azure Data Platform
  • Intermediate-level hands-on experience with Microsoft Fabric (Pipelines, Dataflows Gen2, ADLS Gen2, Notebooks, Lakehouse, Warehouse, Delta tables)
  • Expertise in SQL/T-SQL including complex transformations, query optimization and indexing strategies
  • Strong hands-on experience with PySpark, Delta Lake operations, and scalable distributed processing
  • Experience building data pipelines and analytics solutions using Azure Data Factory
  • Experience with Azure Databricks using Python or Scala
  • Experience with Azure SQL Database and Azure SQL Data Warehouse
  • Experience developing and publishing Power BI dashboards and using Power BI Service, gateways, Report Server, Embedded
  • Experience with SSIS, SSAS, and SSRS
  • Experience with DevOps/CI-CD for data solutions and source control (TFS, Azure Repos)
  • Strong data modeling, stored procedure development, and performance tuning skills
  • Experience with Azure Data Lake Analytics
  • Ability to mentor peers and communicate business logic effectively
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The Company
HQ: Amsterdam
31,547 Employees

What We Do

Arcadis is the world’s leading company delivering sustainable design, engineering, digital and consultancy solutions for natural and built assets. We are more than 36,000 architects, data analysts, designers, engineers, project planners, water management and sustainability experts, all driven by our passion for improving quality of life. We exist to find solutions to today’s most pressing challenges, from the impact of climate change to increasing urbanization and digital transformation – all with the goal of improving quality of life for people around the world. You can see this in the work we do for our clients, the opportunities we create for our people, and in our efforts to enhance the communities in which we live and work. We bring together world-class resources and the latest innovative technologies to help define the cities and experiences of tomorrow. Arcadis. Improving quality of life

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