Giesecke+Devrient

Senior Data Engineer, PowerBI, MS Fabric

Giesecke+Devrient

full-time

Posted on:

Location Type: Office

Location: Gurugram • India

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Job Level

Senior

Tech Stack

AzureCloudETLPythonSQL

About the role

  • As the Data Engineer in our Microsoft Fabric team, you will play a key role in designing, building, and maintaining our modern data platform.
  • You will be responsible for integrating SAP data sources, developing high-quality data models, managing data transformations, and ensuring reliable data pipelines across our Fabric environment.
  • Implement data ingestion processes for SAP systems using appropriate connectors and integration tools.
  • Develop scalable ETL/ELT processes with a strong focus on data quality, performance, and maintainability.
  • Collaborate with business analysts, report creators, and data consumers to understand requirements and translate them into scalable data solutions.
  • Support troubleshooting, performance tuning, and continuous improvement of data services.

Requirements

  • Proven experience as a Data Engineer, ideally in cloud-based analytics environments such as Microsoft Fabric, Azure Synapse, or Databricks.
  • Hands-on experience with SAP Data Integration (e.g., SAP BDC, SAP BW, SAP ECC, SLT, BTP, or 3rd-party extraction tools).
  • Strong proficiency in SQL, Python, and data transformation frameworks.
  • Experience building pipelines using Data Factory, Notebooks, Pipelines, and Lakehouse in Microsoft Fabric.
  • Solid understanding of medallion architecture, warehouse/lakehouse modeling, and semantic layer design.
  • Practical knowledge of RLS, OLS, workspace security, and Fabric governance.
  • Experience with Git, version control, and CI/CD pipelines (Azure DevOps preferred).
  • Strong analytical, problem-solving, and communication skills.
Benefits
  • We are an equal opportunity employer!
  • We promote diversity in all its forms and create an inclusive work environment, free from prejudice, discrimination, and harassment, in which all employees feel a sense of belonging.
  • We warmly welcome all applications regardless of gender, age, race or ethnic origin, social and cultural background, religion, disability, and sexual orientation.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringETLELTSQLPythondata transformation frameworksdata modelingdata ingestionperformance tuningdata quality
Soft skills
analytical skillsproblem-solvingcommunication