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Senior Data Engineer Azure

Requirements

  • Minimum 3+ years of experience as a Data Engineer
  • Experience in building data pipelines/lakes/warehouses in Azure is mandatory
  • Experience with other cloud-based data engineering infrastructure and tools (AWS, GCP, DBT, AirFlow, Kafka, Talend, Segment, etc.)
  • Proficient in Python, SQL
  • Understanding of DevOps principles in data engineering solutions (separation of dev/staging/prod environments, CI/CD, …)

NucleusBI is an international B.I. and A.I. Agency based in Haarlem, the Netherlands and Canggu, Bali, Indonesia. We build end-to-end data solutions, from connectors and data warehousing to reporting, analysis, and A.I. applications for international clients. 

As a Lead data engineer in our team, you will oversee the data engineering projects and ensure the quality and delivery at agreed timelines. 

Preferred skills & qualifications:

  • Experience in building web scrapers
  • Experience with A.I. infrastructure (Azure A.I.)
  • Experience with containerisation tools like Docker, Kubernettes, etc.

Responsibilities

  • Oversee the data engineering projects in the team and ensure results are of high quality and delivered within the agreed timelines.
  • Actively assist in setting up cloud data infrastructure (ETL, data lakes/warehouses, automation)
  • Ensure DevOps and data security principles are applied to all data engineering projects (for example separation of test/prod environments, encryption protocols are in place, etc)

Benefits:

  • You will work in a high-paced international environment where you will be encouraged to learn and improve your skill set.
  • A competitive salary based on skills and prior experience
  • If you come from another part of Indonesia, we offer one-off reimbursement for flights and other relocation expenses.

Recruitment Process:

We will be looking to hire a Lead Data Engineer with experience in Azure on short notice. 

The recruitment process will be: 

  • A first interview
  • A technical test
  • Final Interview

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