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Senior Lead Data Engineer - R01562813

Roles & Responsibilities

  • 6+ years of experience in data engineering
  • 3-4 years of hands-on experience with Microsoft Azure
  • Strong experience with Azure Data Factory, Azure Databricks, Azure Synapse, ADLS Gen2
  • Solid SQL, PySpark, and data modeling skills

Requirements:

  • Design and implement scalable data pipelines on Azure
  • Build batch and near-real-time data processing solutions
  • Work with Data Scientists and AI Engineers to enable ML workloads
  • Lead small teams or workstreams and mentor engineers

Job description

About Brillio
Born digital in 2014, Brillio is a powerhouse of digital transformations. Orchestrated around the superpowers of technology – Cloud, AI, Mobile, IoT, we are a partner of choice for leading companies around the world, helping them leverage digital technologies. We have a global workforce of 6000+ people present in 15 locations across 6 countries – USA, Canada, Mexico, UK, Romania, and India. We have been consistently certified by Great Place To Work® institute in USA, India, UK, and Romania for our strong foundational values and employee-centric culture. 

Brillio Romania
We are a dynamic and rapidly growing company with over 250 colleagues country wide 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. Our colleagues 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.

Accelerate YOU at Brillio!!

Role Summary

 

The Senior Lead Data Engineer is responsible for designing, building, and operating cloud‑native data platforms on Microsoft Azure. This role supports analytics, AI, and image‑driven use cases and provides technical leadership across data ingestion, transformation, and serving layers.


Key Responsibilities
  • Design and implement scalable data pipelines on Azure.
  • Build batch and near‑real‑time data processing solutions.
  • Work with Data Scientists and AI Engineers to enable ML workloads.
  • Develop and optimize data models for analytics and AI consumption.
  • Ensure data quality, reliability, and performance.
  • Contribute to engineering standards, reviews, and best practices.
  • Lead small teams or workstreams and mentor engineers.

  • Required Skills & Experience
  • 6+ years of experience in data engineering.
  • 3–4 years of hands‑on experience with Microsoft Azure.
  • Strong experience with Azure Data Factory, Azure Databricks, Azure Synapse, ADLS Gen2.
  • Solid SQL, PySpark, and data modeling skills.
  • Experience delivering production data pipelines.
  • Familiarity with CI/CD and DevOps practices.
  • Exposure to AI/ML data enablement.
  • Familiarity with Microsoft Fabric / Foundry.
  • Experience handling semi‑structured or unstructured data.
  • Perks and 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!

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