Senior Azure Data Engineering Lead
Global FS/Insurance
Location: London – 2-3 days hybrid working in central London
Day Rate: 110,000 + 20% Bonus
Are you a seasoned data engineering expert passionate about Azure cloud services? Do you thrive in a leadership role, guiding teams to build cutting-edge data solutions? Join us as a Senior Azure Data Engineering Lead and spearhead the development of our single version of truth (SVOT) platform.
Key Responsibilities:
Leadership & Team Management:
- Lead, mentor, and manage a team of talented Azure data engineers.
- Drive the technical execution of the team.
- Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to ensure a high-quality SVOT platform.
Architecture & Delivery:
- Design, develop, and implement scalable and secure data lake solutions on Azure.
- Ensure best practices in data engineering, data integration, and ETL processes.
- Build end-to-end pipelines to support enterprise-wide analytics.
- Code complex aspects of our data pipeline.
- Monitor and enhance the performance and scalability of the SVOT platform to ensure high availability and accessibility.
Experience & Skills:
- 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.
- Knowledge of CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to manage multiple projects and meet deadlines.
- Certifications in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect) are highly desirable.
Please apply!