Brillio - Senior Lead Data Engineer
Requirements
• 6+ years of experience in data engineering or related roles. • Strong hands-on experience with Microsoft Fabric (Data Factory, Lakehouse, Synapse, or equivalent components). • Experience working with AI Copilot tools (e.g., GitHub Copilot, Azure AI Copilot) in development workflows. • Proficiency in Python and/or Scala. • Strong experience with SQL and large-scale data processing. • Experience with Spark and distributed data systems. • Solid understanding of data warehousing and lakehouse architectures. • Familiarity with Azure ecosystem (Azure Data Factory, Azure Synapse, Azure Data Lake). • Experience with data governance, security, and compliance frameworks. • Knowledge of CI/CD pipelines, DevOps practices, and version control (Git). • Experience enabling AI-driven data platforms or intelligent data workflows. • Familiarity with real-time/streaming data processing. • Knowledge of MLOps and integration with machine learning pipelines. • Experience with Power BI or other data visualization tools. • Exposure to enterprise data platform migrations or modernization programs.
Responsibilities
• Design, build, and maintain scalable data pipelines and data platforms using Microsoft Fabric. • Develop and optimize data ingestion, transformation, and orchestration workflows. • Leverage AI Copilot tools to accelerate development, automate data engineering tasks, and improve productivity. • Implement and manage Lakehouse architectures and unified data environments. • Collaborate with data scientists and analysts to enable AI/ML and advanced analytics use cases. • Ensure data quality, governance, security, and compliance across all pipelines. • Optimize performance and cost efficiency of data workloads. • Integrate data from multiple sources (structured, semi-structured, and streaming). • Contribute to data modeling, metadata management, and lineage tracking. • Support CI/CD pipelines, testing, and deployment of data solutions. • Mentor junior engineers and promote best practices in data engineering and AI-assisted development.
Benefits
• · We value your time and lifestyle preferences, so you can choose whether you want to work entirely remotely or from our offices in Cluj-Napoca, Oradea and Bucharest. • · Access to learning through our internal platform - Percipio. • · Private health insurance is provided by Medicover. • · Work from home fixed monthly budget. • · A monthly budget you can use to purchase flexible benefits through the Edenred Benefit platform. • · Sports benefit: We encourage you to have a healthy lifestyle. We'll reimburse you within budget for your favorite sporting activity: whether it's football, climbing, gym or other sports. • Take the next step with Brillio. Accelerate What Matters. Be a Catalyst for Tomorrow. Be a Brillian! • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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