Azure Data & Cloud Engineer: Pipelines & Governance

Next Engineering

Porto

On-site

EUR 16,000 - 22,000

Full time

3 days ago
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Benefits offered by this job

Food allowance
Flex benefits
Other current benefits

Job summary

Next Engineering is a Portuguese tech company transforming industries with innovative data solutions. We seek a data engineering professional to design and maintain scalable pipelines on Azure Databricks and Synapse, and to deliver reusable data products across Bronze, Silver, and Gold layers.

You will integrate SAP, Salesforce and external sources while upholding data quality, governance, and security. Experience with Python, PySpark, SQL, and Azure tools is essential.

Qualifications

  • Proven experience in data engineering using Python, PySpark and SQL.
  • Hands-on with Azure Databricks, Synapse, and data lake/storage services.
  • Knowledge of data vault concepts and dimensional modelling is a plus.

Responsibilities

  • Design, build, and maintain scalable data pipelines on Azure Databricks and Synapse.
  • Develop reusable data products across Bronze, Silver, Gold layers.
  • Integrate data from SAP, Salesforce and external systems.
  • Ensure data quality, governance, lineage, and security.
  • Optimize processing for performance, scalability and cost.
  • Automate workflows, testing, and deployments via CI/CD pipelines.

Skills

Python
PySpark
SQL

Tools

Azure Databricks
Azure Synapse
Azure Data Lake Storage
Azure Data Factory
Azure DevOps
Git
CI/CD pipelines
Microsoft Purview
Databricks Unity Catalog
Infrastructure as Code
Terraform

Job description

Next Engineering is a Portuguese tech company transforming industries with innovative data solutions. We seek a data engineering professional to design and maintain scalable pipelines on Azure Databricks and Synapse, and to deliver reusable data products across Bronze, Silver, and Gold layers.

You will integrate SAP, Salesforce and external sources while upholding data quality, governance, and security. Experience with Python, PySpark, SQL, and Azure tools is essential.

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