Bucharest, Romania, Romania
Open 6 months, first seen by us 205 days agoWe 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
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.
Born digital in 2014, Brillio is a powerhouse of digital transformations.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 205 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 205
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Brillio-2’s usual: its jobs come down by about day 25.
From 11,418 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Employee
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Bucharest, Romania, Romania
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
