Azure Data Engineer

 

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

We are more than 36,000 people, in over 70 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 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.
• Preferred Qualifications:
• Master’s or Minor in Computer Science
• 3+ years of experience developing Data Engineering solutions
• Architecture, design experience with good knowledge of data model design & their implementation.

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. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law.

 

The salary range for this position is $78,00-$97,500. The base salary represents Arcadis’ hiring range for this position. Actual salaries will vary and will be based on various factors, such as location, skills, experience, and qualification for the role.