Job description
Description
About us
GetInData | Part of Xebia is a leading data company working for international Clients, delivering innovative projects related to Data, AI, Cloud, Analytics, ML/LLM, and GenAI. The company was founded in 2014 by data engineers and today brings together 120 Data & AI experts. Our Clients are both fast-growing scaleups and large corporations that are industry leaders. In 2022, we joined forces with Xebia Group to broaden our horizons and bring new international opportunities.
What about the projects we work with?
We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here. What else do we do besides working on projects?
We conduct many initiatives like Guilds and Labs and other knowledge-sharing initiatives. We build a community around Data & AI, thanks to our conference Big Data Technology Warsaw Summit, meetup Warsaw Data Tech Talks, Radio Data podcast, and DATA Pill newsletter.
Data & AI projects that we run and the company’s philosophy of sharing knowledge and ideas in this field make GetInData | Part of Xebia not only a great place to work but also a place that provides you with a real opportunity to boost your career.
If you want to be up to date with the latest news from us, please follow up on our LinkedIn profile.
About role
Platform Engineers are tasked with building, maintaining, and evolving the core infrastructure that underpins a wide range of software applications and services. They collaborate closely with software developers, data engineers, IT operations, and network teams to ensure the platform is robust, scalable, and high-performing. Their responsibilities include configuring and managing servers, databases, and networks, applying modern technologies, and following industry best practices. They also handle system monitoring, troubleshoot issues, and contribute to capacity planning, security assessments, and disaster recovery to ensure reliability. Staying current with industry trends is key to driving ongoing improvements. Success in this role requires strong problem-solving abilities, clear communication, and effective cross-functional collaboration.
Responsibilities
Architecture and execution of migration to GCP
Management of multi-platform environments
Working alongside Platform Engineers to assess and choose suitable technologies and tools for the project
R&D, maintenance, and monitoring of the platform’s components
Implementing intricate data intake procedures
Constructing efficient data models
Implementing and executing policies aligned with the company’s strategic plans concerning used technologies, work organization, etc.
Providing training and fostering knowledge-sharing
Requirements
Strong proficiency in programming languages such as Python and SQL
Solid understanding and practical experience with Google Cloud Platform (GCP)
Familiarity with the BigQuery data analytics platform
Hands-on experience with GKE and Docker
Background in software development with a strong grasp of engineering principles, best practices, and solution design
In-depth knowledge of DevOps methodologies and tools, including Terraform, and CI/CD pipelines
Proficient in version control systems, preferably Git
Experience in administering Linux, Unix, and Windows environments
We offer
Salary: 150 - 185 PLN net + VAT/h B2B (depending on knowledge and experience)
100% remote work
Possibility to work from the office located in the heart of Warsaw
Opportunity to learn and develop with the best Big Data experts
International projects
Possibility of conducting workshops and training
Certifications
Co-financing sport card
Co-financing health care
All equipment needed for work
