As a Senior Data Engineer, you'll design and implement data architectures that support enterprise-level solutions. This role is ideal for someone who thrives in both technical design and hands-on delivery.
In this role, you'll be responsible for designing and implementing data architectures that meet the needs of the enterprise. You'll work with Microsoft Fabric and Lakehouse technologies to create efficient data workflows and ensure that data is accessible and usable across the organization. Your expertise in Data Factory, Power BI, and DAX will be crucial in building robust data solutions that drive business insights.
Your day-to-day responsibilities will include setting technical standards and best practices for data engineering. You'll collaborate with cross-functional teams to understand their data needs and translate those into effective data solutions. This role requires a strong understanding of data modeling and architecture, as well as the ability to implement agentic workflows that enhance delivery speed and efficiency.
The ideal candidate for this position will have at least five years of experience in data engineering, with a proven track record of working on large-scale data projects. You should be comfortable working in a remote environment and be able to communicate effectively with team members and stakeholders. A passion for data and a desire to innovate will help you thrive in this role.
Key requirements include: • Strong experience with Microsoft Fabric and Lakehouse • Proficiency in Data Factory, Power BI, and DAX • Ability to design and implement data architectures • Excellent problem-solving skills and attention to detail • Strong communication skills and a collaborative mindset.
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