Data Engineer (Databricks) in Development Romania Access & Business Intelligence team (hybrid)
Indexed description
The position is in the Enterprise Business Intelligence Department (Romanian team), responsible for developing company-wide solutions for measuring, evaluating, and managing operational and strategic business objectives, part of our sister's companies in Germany, 1&1 Telecommunications SE.
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
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
- 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)
- 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.
We value diversity and welcome all applications - regardless of, for example, gender, nationality, ethnic or social origin, religion, disability, age as well as sexual orientation and identity, physical characteristics, marital status or any other irrelevant factor subject to applicable law.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search