Senior Lead Data Engineer
Bucharest, Romania, Romania
- Pay
- Salary not listed in the saved posting
- Work setup
Remote — work setup source
Work setup in the employer’s listing: remote
From the employer’s posting- Employment
- Unconfirmed
What you’ll work on
Full postingWe are seeking an experienced Senior Data Engineer to design and build next-generation data platforms leveraging AI Copilot capabilities and Microsoft Fabric.
Design, build, and maintain scalable data pipelines and platforms on Microsoft Fabric
Develop and optimize data ingestion, transformation, and orchestration workflows
Implement and manage Lakehouse architectures and unified data environments
Use AI Copilot tools to automate data engineering tasks
Ensure data quality, governance, security, and compliance across pipelines
From the employer’s posting
We are seeking an experienced Senior Data Engineer to design and build next-generation data platforms leveraging AI Copilot capabilities and Microsoft Fabric. This role focuses on enabling intelligent, scalable, and automated data workflows while supporting advanced analytics and AI-driven use cases. You will play a key role in modernizing data architecture and embedding AI-assisted development practices across the data lifecycle.
Design, build, and maintain scalable data pipelines and data platforms using Microsoft Fabric.
Develop and optimize data ingestion, transformation, and orchestration workflows.
Implement and manage Lakehouse architectures and unified data environments.
Leverage AI Copilot tools to accelerate development, automate data engineering tasks, and improve productivity.
Ensure data quality, governance, security, and compliance across all pipelines.
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Power BI
- Spark
Source — Tool mentions in context
- 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.
- Proficiency in Python and/or Scala. - Strong experience with SQL and large-scale data processing. - Experience with Spark and distributed data systems.
- 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.
- 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 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.
- Strong experience with SQL and large-scale data processing. - Experience with Spark and distributed data systems. - Solid understanding of data warehousing and lakehouse architectures.
About Brillio-2
Born digital in 2014, Brillio is a powerhouse of digital transformations.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 186d ago
- Recorded sightings
- 335
- Last seen by us
- Oct 17, 2026
- Employer says posted
- Mar 2, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
We are seeking an experienced Senior Data Engineer to design and build next-generation data platforms leveraging AI Copilot capabilities and Microsoft Fabric. This role focuses on enabling intelligent, scalable, and automated data workflows while supporting advanced analytics and AI-driven use cases. You will play a key role in modernizing data architecture and embedding AI-assisted development practices across the data lifecycle.
Key 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.
Required Skills & Experience
- 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.
Employment type
Employee
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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- Pay
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- Location & working pattern
Bucharest, Romania, Romania
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- Work authorization
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