Senior Data Engineer
Acveti
Seeking a Senior Data Engineer experienced in Microsoft Fabric and Azure for real-time data processing and analytics.
Last checked on September 6, 2026. We may earn a commission when you click through.
This position is ideal for seasoned data engineers looking to work with Azure technologies. However, the absence of salary details could deter some applicants, making it essential to clarify compensation expectations upfront.
About this role
Seeking a Senior Data Engineer experienced in Microsoft Fabric and Azure for real-time data processing and analytics.
About the Company
Acveti focuses on advanced technology solutions, particularly in data engineering and analytics.
Key Highlights
- ✓ Expertise in Fabric Real-Time Intelligence and real-time data processing
- ✓ Proficient in Azure Data Lake and Azure Synapse
- ✓ Experience with PySpark, Spark, SQL, and T-SQL
- ✓ Involvement with Lakehouse, Data Warehouse, and Data Factory
💡 Honest Take: While the role promises advanced tech engagement, the lack of salary transparency can be a red flag for potential candidates. It's worth investigating the company culture and growth opportunities before applying.
Pros
- ✓ Work with innovative Microsoft technologies
- ✓ Opportunity for professional growth in data engineering
- ✓ Engagement in real-time data analytics projects
Cons
- ✗ Salary not disclosed, which may affect interest
- ✗ Position is not remote, limiting flexibility
- ✗ High expectations for senior-level expertise
Best For: Senior professionals in data engineering looking to deepen their expertise in Microsoft technologies and real-time analytics.
Watch Out: The lack of salary transparency might lead to unexpected compensation discussions during the hiring process.
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Expert Review
This role with Acveti offers a chance to Microsoft Fabric and Azure, focusing on real-time data processing. Candidates should note the emphasis on expertise in technologies like PySpark and SQL, which are crucial for the position. The position's requirement for senior-level experience suggests a competitive work environment, but the lack of disclosed salary may leave potential applicants hesitant.
It's advisable to approach the salary discussion early in the hiring process to avoid potential disappointment. the position is not remote, for those seeking flexible work arrangements. Overall, this opportunity may attract those ready to tackle advanced data engineering challenges and contribute to innovative projects.
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