Azure Data Engineering Lead

2 weeks ago

London, Greater London, United Kingdom DATAHEAD Full time

Data Engineering Leadership Opportunity

**About the Role**

We are seeking a seasoned data engineering expert to lead our team of talented Azure data engineers. As a Senior Azure Data Engineering Lead, you will be responsible for guiding the development of our single version of truth (SVOT) platform on Azure.

**Key Responsibilities**

* Lead, mentor, and manage a team of Azure data engineers to design, develop, and implement scalable and secure data lake solutions on Azure.
* Collaborate with cross-functional teams to ensure a high-quality SVOT platform.
* Design and implement best practices in data engineering, data integration, and ETL processes.
* Code complex aspects of our data pipeline.
* Monitor and enhance the performance and scalability of the SVOT platform to ensure high availability and accessibility.

**Requirements**

* Minimum of 8 years of experience in data engineering.
* At least 5 years of hands-on experience with Azure data services (e.g., Apache Spark, Azure Data Factory, Synapse Analytics).
* Proven experience in leading and managing a team of data engineers.
* Proficiency in programming languages such as PySpark, Python (with Pandas if no PySpark), T-SQL, and SparkSQL.
* Strong understanding of data modeling, ETL processes, and data warehousing concepts.
* Ability to manage multiple projects and meet deadlines.
* Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect) are highly desirable.

**What We Offer**

* Competitive day rate and bonus structure.
* Opportunity to work with a talented team of data engineers.
* Collaborative and dynamic work environment.
* Professional development and growth opportunities.

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