Data Engineer (ID: 3674)

Unternehmen : Stafide

Auftragstyp : Vollzeit

Luxembourg

Arbeitsbeschreibung - Data Engineer (ID: 3674)

As a Data Engineer, you will:

Design, develop, and maintain scalable data pipelines using Databricks (Python & SQL) and Apache Spark
Build and manage robust data transformation workflows using dbt
Orchestrate end -to -end data workflows using Azure Data Factory
Implement and monitor data quality checks using tools like Soda
Ensure data governance, cataloging, and compliance using Microsoft Purview
Develop and optimize data models for reporting and analytics
Collaborate with cross -functional teams including data analysts, BI developers, and stakeholders
Support reporting solutions using Power BI, including DAX -based calculations
Contribute to CI/CD pipelines and deployment processes using Azure DevOps

What You Bring to the Table:

6–10 years of experience in Data Engineering or related roles
Strong hands -on experience with Databricks, Spark, and Python
Solid expertise in SQL Server and advanced SQL querying
Experience with dbt for data modeling and transformation
Proven experience with Azure Data Factory for orchestration
Knowledge of data quality frameworks and tools like Soda
Familiarity with data governance tools, especially Microsoft Purview
Experience working in cloud -based data platforms, preferably Azure
Exposure to Power BI and DAX for reporting and analytics
(Preferred) Experience with SSIS / SSRS

You should possess the ability to:

Work in a modern, industrialized data ecosystem with strong governance standards
Design efficient and scalable data architectures
Ensure high data reliability, quality, and integrity
Troubleshoot and optimize complex data pipelines
Communicate effectively with both technical and non -technical stakeholders
Adapt quickly in a fast -paced, agile environment

What we bring to the table:

Opportunity to work on modern cloud -based data platforms and technologies
Exposure to enterprise -level data governance and quality frameworks
A collaborative and innovation -driven work environment
Opportunities for continuous learning and professional growth
Challenging projects that drive business impact through data

Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Hari Sankar R
Phone: +31 20 369 0609 ; Extn : 147
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/harisankar753/

Original job Data Engineer (ID: 3674) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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Data Engineer (ID: 3674)

Arbeitsbeschreibung - Data Engineer (ID: 3674)

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