À propos
12 Months Contract Work Model:
Hybrid (3 days onsite per week)
Increase your chances of an interview by reading the following overview of this role before making an application.
We are looking for a Senior/Lead Data Engineer to drive large-scale data transformation initiatives using Azure technologies. This role focuses on building scalable data pipelines and modern data platforms while working closely with cross-functional teams. Key Responsibilities Design and build data pipelines using PySpark and SQL Develop scalable data warehousing solutions Work with Azure services including ADF, Databricks, and Microsoft Fabric Collaborate with business and technical teams to deliver data solutions Ensure performance, reliability, and scalability of data systems Mentor junior engineers and promote best practices Required Experience 12+ years of IT experience with 8+ years in data engineering Strong hands-on experience with Azure stack (ADF, Databricks, xywuqvp Functions) Proficiency in SQL, PySpark, and ETL/data warehousing concepts Experience with Microsoft Fabric (1–2 years) Ability to work independently in a fast-paced environment Preferred Skills Databricks certification Experience in data modeling Azure Architect certification
Compétences linguistiques
- English
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