Altimetrik Poland is a digital enablement company. In an agile way, we deliver bite-size outcomes to enterprises and startups from all industries, to help them scale and accelerate their businesses. We are unique in Polands IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.
For our client, founded in 1884 as a Swiss luxury watchmaker, known for precision-made chronometers designed for aviators, we seek a Data Engineer to join our team and drive the development and success of the high-end timepieces.
We work 100% remotely or from our hub in Kraków
If you would like to work in an environment that values trust and empowerment... dont hesitate, just apply!
If you possess..
… then we are looking for you!
Altimetrik Poland is a digital enablement company. In an agile way, we deliver bite-size outcomes to enterprises and startups from all industries, to help them scale and accelerate their businesses. We are unique in Polands IT market. Our differentiators are an innovation-first approach, a big focus on core development, attacking challenging and complex problems of the biggest companies in the world.
For our client, founded in 1884 as a Swiss luxury watchmaker, known for precision-made chronometers designed for aviators, we seek a Data Engineer to join our team and drive the development and success of the high-end timepieces.
We work 100% remotely or from our hub in Kraków
If you would like to work in an environment that values trust and empowerment... dont hesitate, just apply!
,[Collaboration: collect and understand requirements and work closely with the business analysts, data architects, BI engineers and other data engineers., Developing data pipelines: develop, optimize, and maintain reliable and scalable ETL/ELT pipeline on a cloud platform through the collection, storage, processing, and transformation of large datasets, Support production issues related to application functionality and integrations Requirements: Python, ETL, Azure, Power BI, PySpark, Databricks, SQL, Data Lake, Data modeling Tools: . Additionally: Small teams, International projects, Startup atmosphere, No dress code, Modern office.