👉 Data Platform Engineer

🟣 You will be: • designing, deploying, and maintaining applications running on Kubernetes, • integrating open‑source components into a unified analytics platform, • developing internal services and tools in Python (e.g. FastAPI, Streamlit), • managing deployments using Helm, Docker, Git (GitLab) and ArgoCD, • supporting and evolving tools used by analysts and data scientists (Airflow, JupyterHub, Superset, MLflow, Trino), • ensuring platform stability, scalability, and security,  • collaborating closely with data, analytics, and infrastructure teams, • participating in architectural decisions and technology choices. 🟣 Your profile: • strong experience with Python, used for building data-related applications and services, • background in data engineering or working with data/analytics platforms, • very good knowledge of Kubernetes, including deployment, operations, and troubleshooting, • hands-on experience with Docker and Helm, • experience working with Git-based workflows (e.g. GitLab), • solid understanding of Linux-based environments, • ability to work across development and infrastructure domains, • experience with big data technologies such as Spark or HDFS, • familiarity with SQL engines (e.g. Trino), • experience operating open-source data tools in production environments, • understanding of CI/CD practices in platform or engineering teams, • good communication skills and strong sense of ownership, • good command of Polish (C1) and English (min. B2), • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. 🟣 Nice to have: • familiarity with tools such as Airflow, MLflow, or Superset, • experience with platform and DevOps tools (e.g. ArgoCD, HashiCorp Vault), • knowledge of data governance or security tools (e.g. Apache Ranger, metastore solutions), • experience with frameworks such as FastAPI or Streamlit, • previous experience transitioning from a data engineering role into a platform-focused role, • 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. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: • development budget of up to 6,800 PLN, • we fund certifications e.g.: AWS, Azure, ISTQB, PSM, • access to Udemy, Safari Books Online and more, • events and technology conferences, • technology Guilds, • internal training, • Xebia Library, • Xebia Upskill. 🩺 We take care of your health: • private medical healthcare, • multiSport card - we subsidise a MultiSport card, • mental Health Support. 🤸‍♂️ We are flexible: • flexible working hours, • B2B or permanent contract, • contract for an indefinite period.