GetInData | Part of Xebia is a leading Polish expert company delivering cutting-edge Big Data, Cloud, Analytics, and ML/AI solutions. The company was founded in 2014 by data engineers and today brings together 120 big data specialists. We work with international clients from many industries, e.g. media, e-commerce, retail, fintech, banking, and telco, such as Truecaller, Spotify, ING, Acast, Volt, and Play, Allegro. Our clients are both fast-growing scaleups and large corporations that are leaders in their industries.
We maintain a laser focus on data technologies, cultivate a very strong engineering culture and support extensive knowledge sharing both within a company and outside through meetups, conferences, and contributions to open-source.
We are a go-to partner for companies that need tailored and highly scalable data processing and analytics platforms that give a competitive advantage and unlock the full business potential of their data.
In 2022 we joined forces with Xebia Group to broaden our horizons and bring new international opportunities to our specialists and customers.
Project
As a Data Engineer in GetInData, you will play a crucial role in providing, developing, implementing, improving, and maintaining the Data platform. You will be responsible for guiding the customer and providing best practices across the company.
Responsibilities
Development and committing of new functionalities and open-source tools
R&D, maintenance, and monitoring of the platform's components
Implementing and executing policies aligned to the strategic plans of the company concerning used technologies, work organization, etc.
Creating and propagating standards of work in projects
Undertaking work that requires the application of fundamental principles in a wide and often unpredictable range of contexts
Contributing to the organization's knowledge database
Strong programming skills in Python and SQL
Familiarity with DevOps practices and tools, including Docker, Terraform, CI/CD
Experience working with Azure cloud provider
Experience working with Kubernetes
Knowledge of Lakehouse platforms - Databricks
Experience working with messaging systems - Kafka
Great fundamental knowledge of Data Engineering, building data platforms, and solutions
Understanding complexity and relationships between businesses, suppliers, partners, competitors, and clients