Data Engineer (Databricks) in Development Romania Access & Business Intelligence team (hybrid)

Main responsibilities:

• Design, implement, and maintain scalable data pipelines and workflows using Azure Databricks and the broader Azure data platform (Data Factory, Data Lake Storage, Azure SQL), ensuring reliability, performance, and cost efficiency
• Develop and optimize data transformation logic using PySpark and SQL within Databricks, handling large-scale datasets across batch and streaming workloads
• Build and maintain data movement procedures, views, and flows for both frontend and backend systems, leveraging MS SQL Server, SSAS, Power BI, and Azure cloud services
• Collaborate closely with BI analysts and architects to translate business requirements into robust data engineering solutions; implement new ideas and improvements driven by that collaboration
• Perform requirement analyses and effort estimations within projects and deliver solutions as part of an international team
• Support Business Analysts with ad-hoc analyses on large data volumes, complex data models, and data extraction from operational systems
• Design, code, test, debug, document, and support all types of data flows and transformation procedures consistent with established specifications and business requirements to deliver maximum business value
• Support, enhance, and modify existing applications, codebases, and data pipelines

What we're looking for:

Core Skills:

• Solid experience with Azure Databricks — notebook development, job orchestration, cluster management, Delta Lake
• Experience with the Azure cloud platform — Data Factory, Data Lake Storage Gen2, Azure SQL, Key Vault, and related services
• Strong proficiency in SQL and PySpark, with the ability to write performant, production-grade code against large data volumes
• Well-rounded knowledge of data warehousing and Business Intelligence concepts, physical data modeling techniques, and the specific requirements of data warehouse architectures
• Knowledge of physical database implementation and performance tuning based on logical data models
• Ability to collaborate effectively with team members and cross-functional stakeholders

Nice to have:

• Mastery of SQL performance optimization on very large datasets
• Previous working experience in telecommunications (4G/5G)
• Experience with MS SQL Server tooling (SSAS, Power BI)
• Familiarity with CI/CD practices for data pipelines (e.g., Databricks Asset Bundles, Azure DevOps)

What we offer:

• Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
• Modern technologies, product responsibility;
• Flexible work schedule;
• Hybrid work option;
• Medical services package from one of two private providers;
• 25 vacation days per year;
• Substitute days off for public holidays that occur on the weekend;
• Meal tickets;
• Internal referral program;
• Team events, networking events organized to promote a passionate, creative and diverse culture;
• Summerfest and Winterfest parties;
• Of course, coffee, soft drinks and fresh fruits are on us in the office.