◾Insight is a division of focussed on IoT, AI and advanced analytics.◾
We assist our customers in developing IoT services, portals, and 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 not in numbers, but rather in competencies. 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.
Check us out!
We are looking for a Mid/Senior 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 and 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 are handled in DevOps.
You might be the perfect match, if you are/have:
- 4+ years of commercial experience as a Data Engineer
- Hands-on experience with the following technologies:
Databricks
Azure Data Factory
Microsoft Azure
SQL/Python
- Analytical mind and business acumen
- Excellent communication and presentation skills
- Experience with ETL processes and data modeling
- Fluent English
✅ What we offer:
- Up to 30 000 PLN net/month on B2B (there is a possibility to sign UoP as well)
- Life insurance
- Multisport card
- Fully remote job
- Work equipment
- Private medical care
- Flexible working hours
- B2B or contract of employment
- Amazing integration events on a regular basis
- Training budget (e.g. Microsoft Azure Certifications)
- Opportunity to impact our company culture build-up
Our recruitment process consists of the following steps:
- Initial interview with Julia, our recruiter – 30 minutes
- Technical interview with one of our technical interviewers – 30 minutes
- Technical task
- Task review – max. 30 minutes
insight databricks Azure Data Factory SQL Artificial intelligence (AI) Python Analytics IoT ETL Data Engineering Azure