About The Company EazyML, recognized by Gartner, is a leading organization specializing in Responsible AI. Our solutions are designed to facilitate proactive compliance and promote sustainable automation across various industries. We are committed to driving innovation and empowering organizations with cutting-edge AI technologies.

EazyML collaborates with breakthrough startups such as Amelia.ai, positioning itself at the forefront of AI-driven transformation. Our company values integrity, innovation, and a customer-centric approach, striving to deliver impactful solutions that address complex data challenges and foster responsible AI adoption.

About The Role We are seeking an experienced Data Engineer to join our dynamic team in a full-time remote capacity. This role offers an exciting opportunity for professionals who thrive on solving complex data problems and taking ownership from design through to delivery. As a Data Engineer at EazyML, you will be responsible for building and maintaining scalable data pipelines, leveraging Microsoft Azure Fabric, and working closely with both technical and business stakeholders to enable data-driven decision-making.

This position is ideal for individuals passionate about AI, cloud technologies, and innovative data solutions, with a focus on responsible AI practices.

Qualifications Minimum of 5+ years of hands-on experience as a Data Engineer, demonstrating a proven track record in designing and implementing data solutions.

Extensive experience with Microsoft Azure Fabric, Databricks, and Azure data services, showcasing proficiency in cloud-based data platforms.

Strong knowledge of SQL, data modeling concepts, and data warehousing principles.

Experience in building enterprise-grade data pipelines, data integration solutions, and managing large-scale data workflows.

Proficiency in programming languages such as Python and Spark, or similar technologies, is preferred.





Experience working in production environments with cloud-based data platforms, ensuring reliability and scalability.

Responsibilities Design, develop, and maintain scalable and robust data pipelines utilizing Microsoft Azure Fabric to support enterprise data needs.

Build reliable ETL/ELT processes for both structured and unstructured data sources, ensuring data integrity and quality.

Collaborate with business teams to understand data requirements and translate them into effective technical solutions.

Optimize data processing workflows to enhance performance, scalability, and cost-efficiency.

Apply AI-assisted development tools and contemporary engineering practices to accelerate solution delivery and improve quality.

Troubleshoot and resolve production issues promptly, proactively identifying opportunities for process improvements.

Work collaboratively with architects, analysts, and developers throughout the project lifecycle to ensure alignment and successful implementation.

Maintain documentation and adhere to best practices for data governance and security.

Benefits At EazyML, we believe in supporting our employees' growth and well-being.

We offer competitive compensation packages, flexible remote work arrangements, and opportunities for professional development. Our benefits include health insurance, paid time off, and access to cutting-edge tools and technologies. Joining our team means being part of an innovative environment that fosters learning, collaboration, and impact-driven work. We encourage a healthy work-life balance and provide a supportive culture that values diversity and inclusion.

Equal Opportunity EazyML is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that diverse teams drive innovation and success, and we are dedicated to providing equal employment opportunities to all qualified candidates.

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