Senior Cloud Data Engineer

As a consultant you also pick up the role to drive customer interactions with business & IT teams together with the Capgemini team & Project manager.


  • Gather requirements and analyze data needed to fulfil the requirement;
  • Translate functional/non-functional requirements into technical solutions;
  • Assist in the technical design of new features and functionalities in the analytics platform;
  • Define new & integrated data warehouse modeling to cover these new features;
  • Define new implementation for development (StoreProcs – Tables – views – consumptions models);
  • Assist in implementations/ orchestrations of new ETL pipelines;
  • Release the solution from a development environment to QA & PROD environments;
  • Assist developers in applying proper architectural and development principles (incl. Source control);
  • Manage & maintain the solution together with a maintenance team;
  • Take overall ownership of the analytics solutions E2E.


  • Strong experience in designing, building, releasing and maintaining a cloud analytics solution;
  • Engaged all-round cloud data engineer;
  • Good knowledge of Azure.

Technologies used:

  • Azure Data Factory;
  • Azure SQL Database;
  • Azure analysis services (tabular models);
  • Power BI (reporting);
  • Azure Logic Apps;
  • Azure DevOps;
  • Azure Automation;
  • Knowledge of Azure Datalake storage and DataBricks is optional.

The languages you might encounter are:

  • T-SQL;
  • DAX.



Posted on:

November 29, 2021

Experience level:


Contract type: