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Cloud Data Engineer (m/w/d)

Technology
Career Advisor
Bucureşti, Româniaacum 2 săptămâni
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Descrierea postului

Cloud Data Engineer | ADF / SSIS → Databricks

You know how complex data systems work. Now help transform them.

Who You'll Be Joining

We're looking for an experienced Cloud Data Engineer to help drive the transition from established data environments to Databricks and modern cloud technologies.

You'll join a global investment management firm specializing in credit investments, with approximately $38 billion in investable assets and over 350 employees worldwide.

With 16 professionals in Bucharest and ambitious growth plans, the local team offers an exciting opportunity to make a real impact.

What you'll be doing

You've mastered Azure Data Factory or SSIS. Now it's time to put that expertise to work on a modern cloud transformation.

  • Build and optimize ETL pipelines using ADF and/or SSIS.
  • Refactor and migrate core business datasets to Databricks.
  • Drive cloud migration of structured and unstructured data.
  • Solve complex integration challenges and help establish reliable data engineering standards.

What You bring to the table

  • 5 years in Data Engineering, with cloud experience.
  • Strong hands-on expertise in Azure Data Factory OR SSIS.
  • Solid SQL and scripting skills (Python, PowerShell or C#).
  • Cloud experience, ideally Azure (AWS/GCP also welcome).
  • Experience with job orchestration and familiarity with Power BI or similar tools.
  • Relevant technical degree and good English & Romanian communication skills.
Experience with Apache Spark, Airflow, OpenMetadata or financial data? That's a plus.

What You Get

  • Up to 23,000 RON NET/month (~€4,300)
  • Bucharest – Prime Central Location
  • Hybrid: 3 days office / 2 remote
  • Personal tech budget – choose your own work equipment
  • Meal benefits for office days
  • Private medical insurance
  • 25 days of annual leave
  • International investment firm | Long-term cloud transformation
Apply now or reach out for a confidential conversation.
Keywords
OrchestrationApache SparkCloud computingAirflowPowershellPythonSqlApache Http Server

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