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Senior Data Engineer | Hybrid
This employer is hiring for a dynamic role within their Data Engineering team, focused on building and maintaining robust data pipelines on the Azure cloud platform. This organization is dedicated to empowering analytics, reporting, and decision-making at scale by leveraging modern data solutions.
The Role
• Design and implement scalable ETL/ELT pipelines within a lakehouse architecture.
• Create high-performance analytical data models and structures.
• Drive best practices in data engineering, including CI/CD, testing, and monitoring.
• Integrate and orchestrate workflows.
• Troubleshoot, monitor, and optimize data quality and pipeline performance across distributed systems.
• Collaborate with stakeholders to gather data requirements and deliver robust, maintainable solutions.
What You'll Need
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, specializing in cloud-native platforms.
• Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python.
• Familiarity with DevOps workflows and orchestration tools.
• Solid understanding of data warehousing, data modeling, and modern data architectures.
• Strong communication skills and the ability to collaborate effectively with technical and business stakeholders.
What's On Offer
• Opportunity to work with cutting-edge cloud data platforms and tools.
• Collaborative and impact-driven team environment.
• Hybrid working conditions for a flexible work-life balance.
• Professional growth and development opportunities within a respected organization.
Apply via Haystack today!
