---
title: 'Senior Data Streaming Engineer at Poland and Eastern Europe'
canonical: 'https://feeny.ai/job/senior-data-streaming-engineer-poland-and-eastern-europe-bulgaria-czechia-cn4952x08dwp'
type: 'job'
last_seen: '2026-11-02'
---

# Senior Data Streaming Engineer at Poland and Eastern Europe

- **Company:** Poland and Eastern Europe
- **Location:** Bulgaria / Czechia / Hungary / Moldavia / Other / Poland / Romania / Slovakia
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-11-02
- **Apply:** https://job-boards.greenhouse.io/xebiacee/jobs/6238265004

## Job description

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

We are looking for a Senior Data Streaming Engineer to join a project delivered for our international client, working with large-scale, event-driven systems and real-time data processing.

You will join a dedicated Streaming team responsible for building and operating production systems based on Kafka-compatible event streaming and Apache Flink. The role combines stream-processing development with the practical challenges of operating distributed systems, ensuring reliable event delivery, and managing stateful workloads in a cloud-native environment.

You will work hands-on across the streaming stack, contributing to production workloads running on AWS and Kubernetes, while developing services and components in Go.

You will be:

- building and maintaining production-grade, Kafka-compatible event-streaming solutions,
- managing partitions, consumer groups, delivery guarantees, and schema evolution,
- developing and maintaining stream-processing applications using Apache Flink,
- working with event time, watermarks, state management, and checkpoints,
- developing services and components in Go,
- deploying and operating streaming workloads on AWS-based infrastructure,
- running and troubleshooting workloads on Kubernetes,
- contributing to the reliability, scalability, and operational stability of distributed streaming systems,
- investigating production issues and improving the performance and resilience of streaming applications,
- collaborating with other engineers to evolve the streaming platform and follow engineering best practices.

Your profile:

- hands-on production experience with Kafka-compatible event-streaming technologies,
- practical understanding of Kafka concepts, including partitions, consumer groups, delivery guarantees, and schema evolution,
- experience developing stream-processing solutions with Apache Flink,
- understanding of Flink concepts, including event time, watermarks, state management, and checkpoints,
- practical experience developing services or components in Go,
- experience working with AWS infrastructure,
- hands-on Kubernetes experience, including deploying, operating, and troubleshooting workloads,
- strong problem-solving skills and the ability to work with distributed systems in production environments.
- Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

- Work from the European Union region and a work permit are required.

Nice to have:

- experience working with Kubernetes operators and Custom Resource Definitions (CRDs),
- experience operating stateful or distributed workloads on Kubernetes,
- experience troubleshooting performance, reliability, and scaling challenges in real-time data-processing systems.

- Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.

- Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

## About Poland and Eastern Europe

## Company Overview
- **One-liner**: Xebia’s Poland & Eastern Europe (CEE) unit delivers AI-first digital transformation, data platforms, cloud engineering, and custom software for global enterprises.
- **Entity Type**: Private (part of Xebia Group)
- **Headquarters**: Wrocław, Poland (with main offices in Gdańsk and Rzeszów; additional hubs in Bulgaria, Romania, Czechia, etc.)
- **Founded**: The Polish entity formed through the acquisition of PGS Software and GetInData; Xebia itself was founded in 2001
- **Founders**: Not publicly disclosed for the CEE region; Xebia global was founded by Anand Sahay and others

## Core Business
- Primary industries: IT consulting, cloud & data engineering, AI/ML, custom software development
- Target customers: B2B, large enterprises and mid-market across fintech, e-commerce, media, fashion, airlines, logistics, streaming, telecom, retail
- Mission: “Shaping tomorrow with AI today” – combining human expertise with AI to help organizations design and build scalable, data-driven solutions

## Products & Services
- **Cloud & Platform Engineering**: Consulting and implementation for AWS, Azure, GCP, including migration, DevOps, and DevSecOps. (Service)
- **Data Platforms & Analytics**: End-to-end data engineering, Databricks, Snowflake, dbt, and analytics solutions. (Service)
- **AI & Machine Learning**: AI architecture, ML engineering, and AI platform development. (Service)
- **Digital Product Engineering**: Full-stack software development, mobile apps (iOS/Android), and custom application development. (Service)
- **Training & Knowledge Sharing**: Internal guilds, labs, meetups, and conference speaking; covers Azure, AWS, ISTQB, PMI certifications. (Service)

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private entity)
- **Key Metric**: 1,000+ experts in the CEE region (part of 5,000+ global workforce)
- **Notable Investors / Partners**: Partners include Databricks, dbt, Snowflake, Azure, GCP, AWS (first AWS Premier Partner in Poland); clients named: McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, Allegro, InPost, etc.
- **Growth Signals**: Active hiring across 60+ roles (AI Architects, Data Engineers, DevOps, Java, etc.), 95% employee retention over 5 years, 30% hold principal/senior/mid-level positions, 60+ conference speakers, 20+ guilds, strong workation and remote culture

## Competitive Advantages
- **Deep cloud certifications and partnerships** – first AWS Premier Partner in Poland, Gold Partner for Databricks, Snowflake, GCP.
- **Strong engineering community** – over 20 internal guilds & labs, regular meetups (Software Talks, Data Tech Talks), and hosting one of Poland’s largest tech conferences.
- **Longevity & retention** – 95% of employees stay over 5 years, indicating strong culture and career growth.
- **Global delivery model** – combination of client-facing teams in US/Europe with nearshore (CEE, LATAM) and offshore (India) capacity, offering diverse project exposure.

## Strategic Focus
- **AI-first approach** – embedding AI into all service lines and internal operations.
- **Knowledge sharing and thought leadership** – support for conference speaking, open-source contributions, and continuous learning.
- **Scaling the CEE hub** – expanding headcount across cloud, data, and AI roles while maintaining a people-first, flexible work culture.

## Why Work Here
- **Work flexibility**: Hybrid/remote options; work from offices in Wrocław, Gdańsk, Rzeszów (Poland) or fully remote; up to 45 working days per year of “workation”.
- **Growth & development**: Personal development budget for tech & soft skills; full reimbursement for cloud certifications (Azure, AWS, ISTQB, PMI); mentoring and internal training.
- **Engineering culture**: Focus on modern open-source stacks, real ownership, guilds & labs, and a strong knowledge-sharing ethos (60+ conference speakers, meetups).
- **Perks & wellbeing**: Health and wellbeing support, team building events, referral program, and a diverse, inclusive workplace.
- **Notable**: “95% of Xebians have been with us for over 5 years” – signals long-term career stability.

## Sources
1. [xebia.com – Career at Xebia (Poland)](https://xebia.com/careers-poland/)
2. [job-boards.greenhouse.io – Xebia CEE Jobs](http://job-boards.greenhouse.io/xebiacee)
3. [xebia.com – Locations](https://xebia.com/locations/)
4. [job-boards.greenhouse.io – Additional job listing](https://job-boards.greenhouse.io/xebiacee/jobs/5991335004)
5. [xebia.com – Main site](https://xebia.com/)

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