Data Engineer (ID 3674)

Alzingen - Luxembourg

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

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:

610 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

Lets Connect

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

Recruiter: Hari Sankar R
Phone:; Extn : 147
Email:
LinkedIn: Skills:

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: 610 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 Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Hari Sankar R Phone:; Extn : 147 Email: LinkedIn: