Design, develop, and maintain scalable data platforms and pipelines within the Microsoft Azure ecosystem. The ideal candidate will have strong expertise in Azure data services, data transformation, and cloud-based analytics solutions. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver scalable solutions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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 are looking for an experienced Azure Data Engineer to design, develop, and maintain scalable data platforms and pipelines within the Microsoft Azure ecosystem. The ideal candidate will have strong expertise in Azure data services, data transformation, and cloud-based analytics solutions.
Roles & Responsibilities
- Design, build, and maintain scalable and reliable data pipelines on Microsoft Azure.
- Develop ETL/ELT workflows for ingesting, transforming, and processing large volumes of structured and unstructured data.
- Transform and cleanse raw data to support analytics and reporting requirements while ensuring high data quality and optimized query performance.
- Work with big data processing frameworks such as PySpark for large-scale data transformation and analytics.
- Develop and manage solutions using Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure SQL Database.
- Implement data integration, orchestration, and automation workflows across multiple data sources.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver scalable solutions.
- Optimize data storage, processing performance, and cost efficiency in Azure environments.
- Implement CI/CD pipelines and deployment automation using Azure DevOps.
- Monitor, troubleshoot, and enhance existing data engineering solutions and workflows.
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Qualification & Experience
- A Bachelor's or Master's Degree or equivalent.
- Strong experience in Azure Data Engineering and cloud-based data solutions.
- Hands-on experience with:
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Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Azure SQL Database
- Strong proficiency in SQL and Python.
- Experience with PySpark for data transformation and processing.
- Good understanding of data warehousing, ETL/ELT concepts, and big data processing.
- Hands-on experience with Azure DevOps for CI/CD pipeline implementation and deployment automation.
- Knowledge of data quality, performance tuning, and optimization techniques.
- Familiarity with Agile development methodologies is a plus.
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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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