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Senior Azure Data Engineer

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AI Summary

Design and develop scalable data pipelines and ETL/ELT solutions. Collaborate with business stakeholders to deliver data-driven solutions. Follow Agile and DevOps best practices to deliver high-quality solutions.

Key Highlights
Design and develop scalable data pipelines and ETL/ELT solutions
Collaborate with business stakeholders to deliver data-driven solutions
Follow Agile and DevOps best practices to deliver high-quality solutions
Key Responsibilities
Design and develop scalable data pipelines and ETL/ELT solutions
Build and optimise data models using dbt
Develop data processing solutions with Databricks, PySpark, and Python
Orchestrate data workflows using Azure Data Factory
Create impactful dashboards and reports using Power BI
Collaborate with business stakeholders to deliver data-driven solutions
Follow Agile and DevOps best practices to deliver high-quality solutions
Technical Skills Required
Azure Databricks dbt PySpark
Benefits & Perks
20 days of holiday per year
Encourage Personal Development - Certification (Certification Charges reimbursed)
Income Tax Return Filing
Visa Sponsorship for Candidate & Dependants
Possibility of bonus
Nice to Have
Master Data Management (MDM)
Data Governance & Data Quality

Job Description


Contract: 12 months (subject to extension).

Location: Amsterdam, Netherlands.

Salary: Not a constraint for the right candidate!

Experience: 6-8 years.

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


Your Profile & DNA:

We're looking for a Senior Azure Data Engineer to join our team and work on exciting enterprise data transformation projects.


Roles & Responsibilities

  • Design and develop scalable data pipelines and ETL/ELT solutions.
  • Build and optimise data models using dbt.
  • Develop data processing solutions with Databricks, PySpark, and Python.
  • Orchestrate data workflows using Azure Data Factory.
  • Create impactful dashboards and reports using Power BI.
  • Collaborate with business stakeholders to deliver data-driven solutions.
  • Follow Agile and DevOps best practices to deliver high-quality solutions.


Qualification & Experience

  • A Bachelor's or Master's Degree or equivalent.
  • 7+ years of experience in Data Engineering.
  • Strong hands-on expertise with Azure data technologies.
  • Excellent SQL, analytical, and problem-solving skills.
  • Experience building cloud-native, scalable data solutions.
  • Strong communication skills and a collaborative mindset.


Key Skills

  • Azure Databricks
  • dbt (Data Build Tool)
  • PySpark & Python
  • Azure Data Factory (ADF)
  • SQL Server
  • Power BI (DAX)
  • Azure DevOps
  • Azure Cosmos DB
  • SSIS & SSRS
  • Master Data Management (MDM)
  • Data Governance & Data Quality


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
  • 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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