Mid/Senior Data Engineer
Odesa, UA
6 днів тому
source : Just Join IT

Data Warehouse (regular)

Azure Data Factory (regular)

SQL (regular)

Data Bricks (regular)

Power BI (regular)


ETL process (regular)

Insight is a division of nexergroup.com focused on Microsoft Azure IoT, AI and advanced analytics. We assist our customers in developing IoT services, portals, mobile apps and, above all, analyze data using AI and advanced analytics to reduce costs, streamline and find new opportunities for the business.

Our goal is to grow strong but rather in competencies than in numbers. We get things done and, on the way, we build a dynamic company culture to create the best place for our development.

We love the atmosphere of a family business with its flat structure and self-organized teams where every opinion matters and influences our way of working.

What we offer :

  • Fully remote job
  • B2B or contract of employment
  • Elastic working hours
  • Training budget (e.g. Microsoft Azure Certifications)
  • Private medical care
  • Multisport card
  • Life insurance
  • Opportunity to impact our company culture build-up
  • Amazing integration events
  • We are looking for a Data Engineer to further strengthen the Advanced Analytics team. You will work as a consultant with a wide variety of cases within Data Engineering and Advanced Analytics for Nexer Insight customers.

    Our customers range from all different business sectors where we help them on their digitalization journey to achieve business value through analytics solutions.

    Development and implementation will mainly be performed in Azure. Code version control and task / sprint planning is handled in DevOps.

    In the role of Data Engineer you will :

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • You might be the perfect match if you are / have :

  • Analytical mind and business acumen
  • Excellent communication and presentation skills
  • Integration to different data sources such as ERP systems or IoT systems
  • ETL processes
  • Data Modelling
  • Data Visualization tools such as PowerBI
  • Data Warehouse, Azure Data Factory, Data Bricks, SQL
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    Моя електронна адреса
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