We’re a software development company with a heart. Netguru is full of professional, extremely capable people, ready to jump into any project and give it their best.
We offer application development services for businesses of any size, adding the hidden value of know-how and long market experience to each project. It includes building web, mobile and desktop apps of top quality, for any industry, including banking, healthcare, commerce, tourism, and robotics.
Over the past ten years, Netguru has changed the way people bank, listen to music, learn languages, and rent bicycles. Some of their clients include Fortune 500 companies and startups like solarisBank, Hive, Temi and more. Netguru works with the largest brands in the world, such as Volkswagen, IKEA or Keller Williams.
Joining Netguru means:
unique opportunity to be a part of a ML department in Netguru, one of the fastest growing companies in Europe,
working with a cross-functional team of software engineers, application/UI engineers, QAs, and designers,
sharing knowledge and best practices with the team
solving a rich set of challenges in our 90+ projects,
owning the development of machine learning algorithms,
connecting the Machine Learning world with Web applications.
at least 3 years' practical experience in Data Engineering
ability to design and implement complex data pipelines and data infrastructure based on technical specifications for the purpose of collecting and curating data from internal and external data sources
experience in SQL
experience in scripting for automation with Python
Knowledge & experience in design & building DWHs and ETL processes
Experience with Docker
Experience working with relational and unstructured data, for example, PostgreSQL or MongoDB
Experience with big data infrastructures (e.g. Hadoop, Spark, MapReduce)
Experience with at least one of the following cloud infrastructures:
Knowledge of Scrum and Agile methodologies,
Willingness to help and mentor other developers,
Experience with event architectures & message-subscribe systems like Kafka
Experience in working with Kubernetes
Experience in software engineering - systems design, coding principles, and best practices
Experience with Machine Learning
Perks & benefits:
remote work & flexible working hours: the freedom to work from home whenever you need to, take a break during working hours, or take a workstation,
generous private health insurance package with dental care,
optional life insurance for you and your family,
individual growth budget for your educational plan,
MacBook Pro — we like to work with the best equipment,
additional accessories for your computer to make your work even more efficient and comfortable,