Mid/Senior Data Engineer

INSIGHT

Cluj-Napoca, Romania

5 zile în urmă

source : Just Join IT

Data Warehouse (regular)

Azure Data Factory (regular)

SQL (regular)

Data Bricks (regular)

Power BI (regular)

DATA MODELLING (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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