We are seeking experienced Azure Data Engineers with a passion for data-driven solutions, technical leadership, and innovation. This role is ideal for individuals with over 8 years of IT experience and a proven track record of at least 5 years in Azure Data Engineering. As a Senior Azure Data Engineer, you will play a key role in architecting, building, and optimizing data platforms, working closely with cross-functional teams to ensure our data solutions are efficient, reliable, and scalable.
Key Responsibilities
- Design, develop, and implement data engineering solutions using the Azure Data Engineering stack, including Azure Data Factory, Databricks, Synapse, Event Hub, Cosmos DB, and ADLS Gen2.
- Architect data warehouse solutions, focusing on data modeling and best practices in data warehousing design.
- Collaborate with stakeholders to define data requirements, design data models, and create pipelines for data integration.
- Lead and guide data engineering team members, sharing expertise and fostering a collaborative, high-performance culture.
- Ensure high-quality, scalable, and efficient data solutions by applying best practices in data management, architecture, and performance optimization.
- Develop ETL processes to handle large-scale data loads and transformations.
- Integrate Power BI, APIs, and SFTP into data solutions to enable real-time analytics and seamless data exchange.
- Maintain a high level of data security and integrity in line with best practices and industry standards.
Required Qualifications
- Experience. 8+ years in IT, with at least 5 years in hands-on Azure Data Engineering roles.
Technical Skills
- Proficiency in Azure services, Data Factory, Databricks, Synapse, Event Hub, Cosmos DB, ADLS Gen2.
- 3+ years of experience with Python/PySpark.
- Strong SQL skills for data manipulation, extraction, and analysis.
- Familiarity with Power BI for data visualization and reporting.
- Experience with SFTP, messaging services, and APIs for data integration.
Data Engineering Expertise
- Solid knowledge of data warehousing architecture, data modeling, and data design principles.
- Ability to lead data engineering projects in an Agile environment, delivering solutions that are robust, reliable, and scalable.
Leadership & Collaboration
- Proven ability to technically guide and mentor junior engineers, sharing best practices and fostering skill development.
- Excellent communication, organizational, and problem-solving skills.
- Comfortable working independently and in team settings, with the flexibility to adapt to shifting priorities.
- Certifications. DP-200 or DP-201 certifications are a plus.
Why Join Us?
- Be part of a dynamic, forward-thinking team dedicated to innovation in data engineering.
- Lead high-impact projects, influencing the architecture and design of data solutions that drive business decisions.
- Work in a supportive, collaborative environment that encourages growth, learning, and professional development.
If you’re passionate about data engineering and eager to make a difference, we’d love to hear from you! Apply now and help us transform our data ecosystem.