Senior Lead Data Engineer

New

BrillioData engineering

Listing location: Bucharest, Romania, Romania; Workplace type: RemoteFull-TimeLead

Salary not disclosed

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Job Details

Bring 6+ years of experience in data engineering or related roles.
Have strong hands-on experience with Microsoft Fabric, including Data Factory, Lakehouse, Synapse, or equivalent components.
Have experience using AI Copilot tools, such as GitHub Copilot or Azure AI Copilot, in development workflows.
Be proficient in Python and/or Scala.
Have strong SQL skills and experience with large-scale data processing.
Have experience with Spark and distributed data systems.
Understand data warehousing and Lakehouse architectures.
Be familiar with Azure Data Factory, Azure Synapse, and Azure Data Lake.
Have experience with data governance, security, and compliance frameworks.
Know CI/CD pipelines, DevOps practices, and version control with Git.
Be familiar with real-time or streaming data processing and MLOps integration with machine-learning pipelines.
Have experience with Power BI or other data visualization tools.

Design, build, and maintain scalable data pipelines and data platforms using Microsoft Fabric.
Develop and optimize data ingestion, transformation, and orchestration workflows.
Use AI Copilot tools to accelerate development and automate data engineering tasks.
Implement and manage Lakehouse architectures and unified data environments.
Collaborate with data scientists and analysts on AI/ML and advanced analytics use cases.
Ensure data quality, governance, security, and compliance across pipelines.
Optimize the performance and cost efficiency of data workloads.
Integrate structured, semi-structured, and streaming data from multiple sources.
Support CI/CD pipelines, testing, and deployment of data solutions.
Mentor junior engineers and promote data engineering and AI-assisted development practices.

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