Data Engineer (Databricks)

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

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 efficienc
• yDevelop and optimize data transformation logic using PySpark and SQL within Databricks, handling large-scale datasets across batch and streaming workload
• sBuild and maintain data movement procedures, views, and flows for both frontend and backend systems, leveraging MS SQL Server, SSAS, Power BI, and Azure cloud service
• sCollaborate closely with BI analysts and architects to translate business requirements into robust data engineering solutions; implement new ideas and improvements driven by that collaboratio
• nPerform requirement analyses and effort estimations within projects and deliver solutions as part of an international tea
• mSupport Business Analysts with ad-hoc analyses on large data volumes, complex data models, and data extraction from operational system
• sDesign, 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 valu
• eSupport, enhance, and modify existing applications, codebases, and data pipeline

s
What we're looking fo

r:Core Skill

• s:Solid experience with Azure Databricks — notebook development, job orchestration, cluster management, Delta La
• keExperience with the Azure cloud platform — Data Factory, Data Lake Storage Gen2, Azure SQL, Key Vault, and related servic
• esStrong proficiency in SQL and PySpark, with the ability to write performant, production-grade code against large data volum
• esWell-rounded knowledge of data warehousing and Business Intelligence concepts, physical data modeling techniques, and the specific requirements of data warehouse architectur
• esKnowledge of physical database implementation and performance tuning based on logical data mode
• lsAbility to collaborate effectively with team members and cross-functional stakeholde

rs
Nice to ha

• ve:Mastery of SQL performance optimization on very large datas
• etsPrevious 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 DevO

ps)
What we of

• fer:Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills ar
• eas;Modern technologies, product responsibil
• ity;Flexible work sched
• ule;Hybrid work opt
• ion;Medical services package from one of two private provid
• ers;25 vacation days per y
• ear;Substitute days off for public holidays that occur on the week
• end;Meal tick
• ets;Internal referral prog
• ram;Team events, networking events organized to promote a passionate, creative and diverse cult
• ure;Summerfest and Winterfest part
• ies;Of course, coffee, soft drinks and fresh fruits are on us in the off