Brillio Romania

Brillio Romania is a dynamic and rapidly growing company with over 160 employees and offices in Cluj, Oradea, and Bucharest. With its fast-paced growth, the company has consistently demonstrated an unwavering commitment to client satisfaction.

At Brillio Romania, we know our success comes from the innovative contributions and brilliant work of our people. So, we make fostering a positive work environment our top priority. Employees at Brillio Romania not only thrive, but they also have the chance to build long and fulfilling careers, fostering a sense of stability and dedication that ultimately benefits both the company and our valued clients.

Role: Lead Data Engineer - Based in Romania (Fully Remote) - Collaboration type: CIM

We are seeking a Lead Data Engineer with extensive experience in Microsoft Azure and Databricks, and a proven ability to design, implement, and optimize scalable data solutions. In this role, you will work on data engineering initiatives, collaborating with cross-functional teams to architect and manage modern data platforms. Familiarity with Microsoft Fabric will be a valuable advantage.

Responsibilities:

• Design, develop, and implement robust, scalable data pipelines, architectures, and models using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Data Lake.
• Leverage Azure services to ingest, transform, and process large-scale datasets effectively.
• Architect and optimize data solutions using Databricks, enabling advanced analytics and real-time processing.
• Implement Delta Lake solutions for reliable and performant data storage.
• Design and manage integrations using Microsoft Fabric to enhance the data platform ecosystem.
• Explore Fabric’s capabilities to support modern reporting and near real-time analytics.
• Build, manage, and optimize ETL/ELT pipelines to ensure smooth data flow and processing.
• Implement best practices for data transformation and quality monitoring.
• Ensure robust data governance, quality, and security policies across the data platform.
• o Implement role-based access controls and compliance standards within the Azure ecosystem.
• Partner with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions that drive business impact.
• Mentor junior data engineers, establish best practices, and lead data platform development efforts.
• Monitor, troubleshoot, and optimize the performance of data pipelines and architectures.
• Scale infrastructure to meet organizational demands.
• Maintain clear and detailed documentation of data pipelines, system architecture, and platform integrations.
• Continuously enhance processes to improve efficiency and reliability.

Qualifications:

• 5+ years of experience in data engineering, with a focus on Azure Data Services and Databricks.
• Proven expertise in Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Delta Lake.
• Strong proficiency in SQL, Python, and data engineering best practices.
• Solid understanding of data modeling, data warehousing, and scalable architecture design.
• Experience with CI/CD pipelines, version control, and DevOps practices for data engineering workflows.
• Deep knowledge of data governance, security best practices, and compliance in Azure environments.
• Ability to lead teams, mentor junior engineers, and drive data engineering initiatives.

Preferred Skills:

• Hands-on experience with Microsoft Fabric and its integration capabilities.
• Familiarity with real-time data processing and analytics.
• Knowledge of orchestration tools and frameworks for advanced pipeline automation.

Why Join Us? This is an excellent opportunity shape the data engineering landscape within our organization, leveraging cutting-edge Azure and Databricks technologies. You'll work in a collaborative, innovative environment, driving impactful solutions for business success.