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Azure Data Engineer (ID:3995)

Supply Chain & ERP (ID: 3727) in AmsterdamSenior
ExpiredVerified Sep 2, 2026

Job description

As an Azure Data Engineer, you will:Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.Develop and optimize data processing workflows to support reliable and high-quality data delivery.Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.What You Bring to the Table:10+ years of experience in Data Engineering.Strong hands-on experience with Databricks.Strong experience with PySpark.Experience with Azure Data Factory (ADF).Strong Python scripting skills.Experience implementing data governance, data quality, and data lineage.Proven experience designing and maintaining robust data pipelines.You should possess the ability to:Build scalable and reliable data pipelines.Apply data governance and data quality principles across data solutions.Implement effective data lineage practices.Develop efficient data processing solutions using PySpark and Python.Work effectively with Databricks and Azure Data Factory.Troubleshoot and optimize data pipelines and processing workflows.What We Bring to the Table:Opportunity to work on large-scale data engineering solutions.Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.Opportunity to contribute to data governance, data quality, and data lineage initiatives.A professional environment focused on building robust and scalable data solutions.Let’s ConnectWant to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonPhone: +31 20 369 0609 ; Extn : 151E-mail: [email protected]: https://www.linkedin.com/in/giftsonpauldavidson/As an Azure Data Engineer, you will:Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.Develop and optimize data processing workflows to support reliable and high-quality data delivery.Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.What You Bring to the Table:10+ years of experience in Data Engineering.Strong hands-on experience with Databricks.Strong experience with PySpark.Experience with Azure Data Factory (ADF).Strong Python scripting skills.Experience implementing data governance, data quality, and data lineage.Proven experience designing and maintaining robust data pipelines.You should possess the ability to:Build scalable and reliable data pipelines.Apply data governance and data quality principles across data solutions.Implement effective data lineage practices.Develop efficient data processing solutions using PySpark and Python.Work effectively with Databricks and Azure Data Factory.Troubleshoot and optimize data pipelines and processing workflows.What We Bring to the Table:Opportunity to work on large-scale data engineering solutions.Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.Opportunity to contribute to data governance, data quality, and data lineage initiatives.A professional environment focused on building robust and scalable data solutions.Let’s ConnectWant to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonPhone: +31 20 369 0609 ; Extn : 151E-mail: [email protected]: https://www.linkedin.com/in/giftsonpauldavidson/As an Azure Data Engineer, you will:As an Azure Data Engineer, you will:As an Azure Data Engineer, you will:
  • Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.
Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.Design, develop, and maintain robust data pipelines using Databricks, PySpark, Azure Data Factory, and Python.
  • Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.
Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.Implement scalable data solutions with a strong focus on data governance, data quality, and data lineage.
  • Develop and optimize data processing workflows to support reliable and high-quality data delivery.
Develop and optimize data processing workflows to support reliable and high-quality data delivery.Develop and optimize data processing workflows to support reliable and high-quality data delivery.
  • Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.
Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.Work with cloud-based data engineering technologies to build and maintain enterprise-grade data solutions.What You Bring to the Table:What You Bring to the Table:What You Bring to the Table:
  • 10+ years of experience in Data Engineering.
10+ years of experience in Data Engineering.10+ years of experience in Data Engineering.
  • Strong hands-on experience with Databricks.
Strong hands-on experience with Databricks.Strong hands-on experience with Databricks.
  • Strong experience with PySpark.
Strong experience with PySpark.Strong experience with PySpark.
  • Experience with Azure Data Factory (ADF).
Experience with Azure Data Factory (ADF).Experience with Azure Data Factory (ADF).
  • Strong Python scripting skills.
Strong Python scripting skills.Strong Python scripting skills.
  • Experience implementing data governance, data quality, and data lineage.
Experience implementing data governance, data quality, and data lineage.Experience implementing data governance, data quality, and data lineage.
  • Proven experience designing and maintaining robust data pipelines.
Proven experience designing and maintaining robust data pipelines.Proven experience designing and maintaining robust data pipelines.You should possess the ability to:You should possess the ability to:You should possess the ability to:
  • Build scalable and reliable data pipelines.
Build scalable and reliable data pipelines.Build scalable and reliable data pipelines.
  • Apply data governance and data quality principles across data solutions.
Apply data governance and data quality principles across data solutions.Apply data governance and data quality principles across data solutions.
  • Implement effective data lineage practices.
Implement effective data lineage practices.Implement effective data lineage practices.
  • Develop efficient data processing solutions using PySpark and Python.
Develop efficient data processing solutions using PySpark and Python.Develop efficient data processing solutions using PySpark and Python.
  • Work effectively with Databricks and Azure Data Factory.
Work effectively with Databricks and Azure Data Factory.Work effectively with Databricks and Azure Data Factory.
  • Troubleshoot and optimize data pipelines and processing workflows.
Troubleshoot and optimize data pipelines and processing workflows.Troubleshoot and optimize data pipelines and processing workflows.What We Bring to the Table:What We Bring to the Table:What We Bring to the Table:
  • Opportunity to work on large-scale data engineering solutions.
Opportunity to work on large-scale data engineering solutions.Opportunity to work on large-scale data engineering solutions.
  • Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.
Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.Exposure to modern data technologies including Databricks, PySpark, Azure Data Factory, and Python.
  • Opportunity to contribute to data governance, data quality, and data lineage initiatives.
Opportunity to contribute to data governance, data quality, and data lineage initiatives.Opportunity to contribute to data governance, data quality, and data lineage initiatives.
  • A professional environment focused on building robust and scalable data solutions.
A professional environment focused on building robust and scalable data solutions.A professional environment focused on building robust and scalable data solutions.Let’s ConnectLet’s ConnectLet’s ConnectWant to discuss this opportunity in more detail? Feel free to reach out.Want to discuss this opportunity in more detail? Feel free to reach out.Recruiter: Giftson Paul DavidsonRecruiter: Giftson Paul DavidsonRecruiter:Phone: +31 20 369 0609 ; Extn : 151Phone: +31 20 369 0609 ; Extn : 151Phone:E-mail: [email protected]:E-mail:[email protected]@stafide.nlLinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/LinkedIn:LinkedIn:https://www.linkedin.com/in/giftsonpauldavidson/https://www.linkedin.com/in/giftsonpauldavidson/I'm interested{{criteriaIndex}} {{field}} {{captialize(condition)}} ( ) {{cxPropHelpText}} {{cxPropField.consent_details.description}} {{record.Posting_Title}} {{record.Posting_Title}} {{record.Posting_Title}} {{candidate.Email}} {{topMessage}} Job Details {{topMessage}} previous next {{title}} {{score}}% Job Description {{unescape(sanitizeHTML(descriptionHTML))}} {{message}} Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}} For privacy and security purposes, please go through the following points and provide consent. Accept Decline {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{getI18n("zr.careers.publicpage.meta.joblisting")}} {{cxPropAssessment.name}} {{getI18n("zr.questionnaire.question.information.heading")}} {{getI18n("zr.cw.autofill.head")}} {{cxPropBodyMessage}} {{getI18n("zr.careers.autopopulate.success")}} {{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}} {{if(cxPropDetails.applyWithSeekButton,cxPropDetails.applyWithSeekButton.buttonLabel,getI18n("zr.quickapply.apply.toggle","Seek"))}} {{getI18n('zr.eeo.questionnaire.portal.maintitle')}} {{botName}} {{getI18n("zr.zia.sb.consent.msg1")}}{{criteriaIndex}}{{criteriaIndex}}{{field}} {{captialize(condition)}}{{field}}{{captialize(condition)}}( )(){{cxPropHelpText}}{{cxPropHelpText}}{{cxPropField.consent_details.description}}

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