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Title:  Data Engineer

 

Location: Bucharest

Function: Digital & Technology

Sub Function: Digital & Technology - Master Data Management

Type of Contract: Permanent

Job purpose: 

Database development and harmonized data pipelines within the Microsft Azure platform.

Main responsibilities:

  • Create automations by which data goes through the ETL (extract, transform, load) process for both normal reporting and advanced analytics models
  • Create and maintain Azure Pipelines that ensure the transfer of data between the different uses
  • Management of internal databases
  • Profiling Azure data sets
  • Data modeling using Azure platform tools
  • Building data architecture in Azure
  • Working with SQL databases for data extraction
  • Using Power BI to expose data to end users
  • Creating reports in Power BI according to business needs
  • Supporting the business in their processes
  • Collecting information and ensuring its accuracy

 

We are looking for a colleague with:

  • Higher education - preferably in IT-technical field.  
  • 1-3 years experience in a Data Engineer / DevOps role 
  • English language - advanced level
  • Knowledge of analysis, synthesis and planning
  • PC (MS Office) - advanced level
  • Azure DevOps advanced
  • Advanced SQL

 

  • Knowledge of Power BI (nice to have)
  • Python for data science (nice to have)
  • Statistics (nice to have)

In Romania, HEINEKEN has more than 1.000 employees who works in one of the 3 breweries, on the field in Sales or at the Head Quarter.

We are the company with the most diversified portfolio of beer and cider on the Romanian market and we offer our consumers quality products, extraordinary brands and unique experiences.

We are dynamic people, who put passion in everything they do.

We believe that working at HEINEKEN Romania means more than producing beer and cider: it means developing new products and bringing unique experiences into the lives of people who choose to consume the products in our portfolio.


Job Segment: Engineer, Database, SQL, Engineering, Technology

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