Data Technical Lead

NTT DATA Romania · Bachelor's Degree · Python · SQL · Scala · Azure Data Factory · 1 month ago
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Salary
≈ $32k – $96k per year (Estimated)
Location
In office (Bucharest)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Sep 16, 2026.

Overview
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Profile match

NTT DATA Romania

NTT DATA Romania is the Romanian arm of the Japanese IT services group NTT DATA, delivering software development, cloud, data, SAP, Salesforce and cybersecurity projects for clients in Europe. It works from offices in Bucharest, Cluj-Napoca, Iasi, Brasov, Timisoara and Sibiu, on assignments such as European Commission customs digitalisation, telecom data platforms and automotive software, and its board also lists roles in Novi Sad and Rio de Janeiro. It hires Java, full-stack and frontend developers, data and platform engineers, DevOps and AUTOSAR engineers, SAP consultants, project managers and security specialists.
nttdata.ro · HQ: Bucharest, Romania · 1001-5000 employees
Tech stack of NTT DATA Romania

Who we are

We are looking for an experienced Data Tehnical Lead. While the role will be supported by Solution Architects and Project Managers on the client side, the ideal candidate will demonstrate exceptional technical design capability, strong analytical and problem-solving skills, and the ability to lead teams through complex technical challenges while maintaining delivery momentum

What you'll be doing

  • Lead a team of approx. 5 developers to implement an Azure Data bricks and Azure Data Factory based solution
  • Develop the technical solution spec, estimation, working closely with the Solution Architect
  • Complete documentation required for the project relevant to the development team
  • Create and monitor tasks for the development team and track through to completion

What you'll bring along

  • BSc/MSc in Computer Science, Data Engineering, or related field
  • Snowflake certifications highly desirable
  • Experience: 8-10+ years in data systems, with 4+ years explicitly in leading teams
  • Strong experience in Azure Databricks Workspace configuration and administration
  • Expertise in Databricks cluster management, performance tuning, and troubleshooting
  • Knowledge of Azure cost estimation and optimization
  • Hands-on experience with Databricks AI capabilities, including Genie and Mosaic AI, and their integration into data solutions
  • Proficiency in Databricks access and security management
  • Ability to create and maintain Databricks Notebooks using SQL, Python, and R/Scala
  • Solid understanding of DataFrames, data manipulation, and transformation techniques within Databricks
  • Experience integrating Azure Data Factory (ADF) with Databricks, including triggering and orchestrating notebooks from ADF pipelines
  • Strong expertise in designing, building, and deploying Azure Data Factory pipelines across multiple environments
  • Experience in data modeling, data warehouse design, and management
  • Good knowledge of Azure SQL
  • Experience working within Agile development environments
  • Strong verbal and written communication skills
  • Industry experience within Insurance, Reinsurance, or Financial Services is highly preferred
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