👉 Data/ML Platform Engineer

🟣You will be:

• responsible for at-scale infrastructure design, build and deployment with a focus on distributed systems, 
• building and maintaining architecture patterns for data processing, workflow definitions, and system to system integrations using Big Data and Cloud technologies, 
• evaluating and translating technical design to workable technical solutions/code and technical specifications at par with industry standards, 
• driving creation of re-usable artifacts, 
• establishing scalable, efficient, automated processes for data analysis, data model development, validation, and implementation, 
• working closely with analysts/data scientists to understand impact to the downstream data models, 
• writing efficient and well-organized software to ship products in an iterative, continual release environment, 
• contributing and promoting good software engineering practices across the team, 
• communicating clearly and effectively to technical and non-technical audiences, 
• defining data retention policies, 
• monitoring performance and advising any necessary infrastructure changes. 

🟣 Your profile:

• ready to start immediately, 
• 5+ years of hands-on experience in using Python, Spark, 
• experience in AWS Cloud usage and management, 
• experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow), 
• experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch, 
• experience with orchestrators such as Airflow and Kubeflow, 
• familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes), 
• fundamental understanding of Parquet, Delta Lake and other data file formats, 
• proficiency on an IaC tool such as Terraform, CDK or CloudFormation, 
• strong written and verbal English communication skills and proficient in communication with non-technical stakeholders. 

🟣 Recruitment Process: CV review – HR Call – Tech Interview (with live-coding elements) – Client Interview (live-coding) – Decision



🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, O'Reilly (formerly Safari Books Online) and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,
• contract for an indefinite period.