Data Engineer – AI, Java, Python, Spark

Infotree Global Solutions

Senior Data & GenAI Engineer building scalable data, cloud and LLM platforms for Infotree Global Solutions. Designing pipelines, distributed systems and agentic AI applications in Warsaw.

Posted 8/12/2026full-timeWarsaw • 🇵🇱 PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining high-quality software, with a strong focus on building scalable cloud-native services and optimizing distributed data processing. Proficient in Python, Java, and modern data platforms, with a solid understanding of GenAI applications and engineering best practices.

Highest-signal resume keywords

Python DevelopmentJava DevelopmentApache SparkKubernetesGenAI Applications

ATS Keywords

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Hard Skills

Software EngineeringData EngineeringDistributed SystemsData Pipeline DesignPerformance OptimizationTesting and Code QualitySystem DesignML/AI DevelopmentLLM OrchestrationCloud-Native Technologies

Soft Skills

Technical LeadershipCollaboration

Tools & Technologies

DatabricksSnowflakeLangChainLangGraph

Industry Keywords

Cloud Data WarehousesLakehouse PlatformsDistributed Processing SystemsEngineering Best Practices

Tech Stack

Tools & technologies

ApacheCloudDistributed SystemsJavaKubernetesPythonSpark

About the role

Key responsibilities & impact

Develop, test and maintain high-quality, production-ready software
Design and implement large-scale data pipelines and distributed processing systems
Build scalable cloud-native services and platforms
Provide technical leadership for cross-team initiatives and complex engineering projects
Design and develop reusable libraries, frameworks and platform components
Optimize distributed data processing workloads for performance, scalability and reliability
Work with Databricks, Apache Spark and Snowflake data platforms
Develop and deploy applications using Python and/or Java
Build and operate containerized workloads using Kubernetes and cloud-native technologies
Design and implement GenAI/LLM-based applications and services
Use LangChain and LangGraph for LLM orchestration and agentic workflows
Collaborate with data scientists, software engineers, architects and product teams
Establish engineering best practices around testing, observability, reliability and deployment

Requirements

What you’ll need

5+ years of professional software/data engineering experience
Strong hands-on experience with Python and/or Java
Strong experience with Apache Spark and distributed data processing
Experience with Databricks and/or modern lakehouse platforms
Experience with Snowflake or comparable cloud data warehouses
Practical experience with Kubernetes and cloud-native technologies
Experience designing and maintaining large-scale data pipelines
Strong understanding of distributed systems, scalability and production engineering
Experience developing ML/AI or GenAI applications
Experience with LLM-based applications, RAG, AI agents or LLM orchestration
Familiarity with LangChain, LangGraph or similar GenAI frameworks
Strong software engineering fundamentals including testing, code quality and system design

Benefits

Comp & perks

Supportive team focused on employee growth and well-being
Opportunities to grow and challenge yourself in the role
Dedicated recruiter and consultant care representative support