Azure Data Engineer with 8-10 years of Experience

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AI Summary

Design and build scalable cloud-based data pipelines on Microsoft Azure. Develop, manage, and optimize cloud data pipelines and analytics platforms. Strong expertise in Python, Azure Databricks, and SQL/NoSQL databases is required.

Key Highlights
Design cloud-based data pipelines on Microsoft Azure
Develop and manage cloud data pipelines and analytics platforms
Strong expertise in Python and Azure Databricks
Key Responsibilities
Design, develop, and maintain data pipelines using Azure Databricks (PySpark)
Implement batch and structured streaming solutions
Manage data storage and processing using Azure Data Lake Storage (ADLS) and Azure Synapse Analytics (SQL DW)
Technical Skills Required
Python Azure Databricks SQL/NoSQL databases Azure Data Lake Storage Azure Synapse Analytics Azure Functions Terraform Event Hub Event Grid
Benefits & Perks
20 days of holiday per year based on 40 hours
Encourage Personal Development - Certification
Income Tax Return Filing
Visa Sponsorship for Candidate & Dependants
Possibility of bonus

Job Description


Contract: 12 months (subject to extension).

Location: Eindhoven, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 8-10 years.

Hybrid: 2 days Work from Home 3 days Work from Office


Your Profile & DNA:

We’re looking for an experienced Azure Data Engineer to design and build scalable, cloud-based data pipelines on Microsoft Azure. As an Azure Data Engineer, you will develop, manage, and optimize cloud data pipelines and analytics platforms. You will work closely with cross-functional teams to implement solutions that handle both streaming and batch workloads, while ensuring reliability and performance.


Roles & Responsibilities

  • Design, develop, and maintain data pipelines using Azure Databricks (PySpark)
  • Implement batch and structured streaming solutions
  • Manage data storage and processing using Azure Data Lake Storage (ADLS) and Azure Synapse Analytics (SQL DW)
  • Develop serverless data workflows with Azure Functions
  • Build and manage event-driven architectures using Event Hub and Event Grid
  • Collaborate on infrastructure-as-code deployments using Terraform
  • Support integration with SQL and NoSQL databases
  • Contribute to continuous improvement of cloud data engineering best practices


Qualification & Experience

  • A Bachelor's or Master's Degree or equivalent.
  • Strong expertise in Python and SQL/NoSQL databases
  • Hands-on experience with Azure Databricks, ADLS, Event Hub, Event Grid, SQL DW, Azure Functions
  • Understanding of serverless architectures and Terraform
  • Experience with batch and streaming data pipelines
  • Familiarity with Agile/DevOps environments


What do we offer?

If your profile matches the job requirement and you are interested to be presented to our clients, then please apply and don’t forget to attach your updated CV in line with the JD!

This position is for 1 year with possibility of extension. We offer competitive Gross Salary in line with the market standard.

Besides that, we offer following benefits, such as:

  • 20 days of holiday per year based on 40 hours
  • Encourage Personal Development - Certification (Certification Charges reimbursed)
  • Income Tax Return Filing
  • We provide Visa Sponsorship for Candidate & Dependants
  • Possibility of bonus


Who we are:

A2G Consulting also known as "A2G Technologies" is one of the fastest growing staffing companies in North Brabant region, Netherlands. We cater to Asia and Europe market focusing on high tech & non-high-tech clientele; headquartered in Eindhoven, Netherlands with a branch office in India (Bangalore & Pune) & Dubai. We successfully find a candidate and ensure that they get opportunities in line with their aspirations. We offer visa sponsorship for local & international candidates for career-enhancing opportunities. We strongly believe in equal opportunities and hence have a pool of resources with diversified ethnicity.

You will be deployed and work at one of our client sites.


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