Job Description
Description
Hello, let’s meet!
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
About Project
We are looking for a Software Engineer with Data Science skills to join a project focused on machine learning solutions and large-scale data processing. The role combines software engineering with data analysis, supporting the development of scalable data infrastructure and AI-driven applications.
The engineer will work on backend services, data pipelines, and cloud-based solutions while also contributing to data exploration, dataset preparation, and support for AI/ML model development.
You will be:
developing backend services using Kotlin or Java,
processing large datasets using Scala and BigQuery,
designing and maintaining data pipelines with Apache Airflow in the Google Cloud Composer environment,
working with Google Cloud Platform to ensure scalable and efficient solutions,
preparing and transforming datasets for machine learning processes,
supporting AI/ML model training and experimentation,
performing data analysis and presenting insights to support business decisions,
collaborating with engineers, data scientists, and stakeholders throughout the project lifecycle.
Requirements
Your profile:
3–5 years of experience in Software Engineering,
strong knowledge of Kotlin or Java,
experience with MongoDB and strong SQL skills (especially BigQuery),
knowledge of Scala and experience with large-scale data processing,
hands-on experience with Apache Airflow or Google Cloud Composer,
experience working in GCP and using Terraform,
knowledge of Python or Scala ecosystems for data processing (e.g. Spark),
understanding of the machine learning lifecycle and dataset preparation,
analytical mindset and ability to work independently,
ability to communicate insights to technical and non-technical stakeholders.
Nice to have:
experience with ReactJS,
experience creating dashboards in Looker Studio.
Work from the European Union region and a work permit are required.
Candidates must have an active _VAT_ status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/
Recruitment Process:
CV review – HR Call – Interview I– Interview II – Decision
