Azure Data Engineer
BG
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingArcadis is looking for an Azure Data Engineer with a passion to drive and execute Digital to the core of everything we do.
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.
Design, develop, test and support Azure Data Platform solutions with Agile teams
Lead and design solutions on MS Fabric and Azure data platforms
Tune database performance, complex SQL queries and data models
Mentor peers on Azure data platform skills
Build end-to-end data analytics solutions with CI/CD DevOps practices
From the employer’s posting
Arcadis is looking for an 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 become 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.
Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform
Leading and designing solutions on MS Fabric /Azure data platforms
performance optimization of SQL queries
Mentor peers to gain expertise on Azure data platform solutions skills.
Experience in building Azure data analytics solutions with DevOps (CI/CD) approach.
Education & alternatives
Qualifications & Experience: * Bachelor’s degree with 12+ years of relevant professional experience, including at least 8 years of hands-on experience working with Azure Data Platform technologies. * 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.
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Delta Lake
- SSRS
- PySpark
Source — Tool mentions in context
Role accountabilities: * Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform * Leading and designing solutions on MS Fabric /Azure data platforms * Very strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries. * Mentor peers to gain expertise on Azure data platform solutions skills. * 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 Data Bricks with Python/Scala * Experience in building end to end solution using Azure data analytics platform. * Experience in building Azure data analytics solutions with DevOps (CI/CD) approach. Qualifications & Experience:
* Bachelor’s degree with 12+ years of relevant professional experience, including at least 8 years of hands-on experience working with Azure Data Platform technologies. * 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?
Role description: Arcadis is looking for an 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 become 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.
Qualifications & Experience: * Bachelor’s degree with 12+ years of relevant professional experience, including at least 8 years of hands-on experience working with Azure Data Platform technologies. * 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.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 13 days ago
- Recorded sightings
- 90
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.arcadis.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
BG
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.