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Warsaw · Hybrid

Data Engineer AI Java/Python/Spark

Role Overview:

We are looking for a Senior/Lead Data & GenAI Engineer to design, build and maintain scalable, production-grade data and AI platforms.

The role combines software engineering, distributed data processing, cloud-native technologies and Generative AI. You will work across teams, drive technical initiatives and build reusable libraries and frameworks that enable reliable, scalable and testable systems.

Key Responsibilities:

  • 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 using modern engineering practices.

  • 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 data platforms including Databricks, Apache Spark and Snowflake.

  • 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.

  • Work with frameworks such as 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.

Required Experience:

  • 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.

Nice to Have:

  • Experience with AWS, Azure or GCP.

  • Experience with streaming technologies such as Kafka.

  • Experience with Delta Lake / Lakehouse architecture.

  • Experience building RAG pipelines and vector-search solutions.

  • Experience with LLM evaluation, observability and productionization.

  • Experience with AI agents, tool calling and multi-step workflows.

  • Experience building internal developer platforms, frameworks or reusable engineering libraries.

  • Experience leading cross-functional or cross-team technical initiatives.

Ideal Candidate Profile:

The strongest candidate is not purely a Data Engineer and not purely an ML Engineer.

We are looking for someone who combines:

Software Engineering + Data Engineering + Cloud/Platform Engineering + GenAI

Typical backgrounds may include:

  • Senior Data Engineer

  • Lead Data Engineer

  • Senior Software Engineer – Data

  • Data Platform Engineer

  • Senior Cloud Data Engineer

  • AI/ML Platform Engineer

  • Senior ML Engineer with strong data engineering experience

  • GenAI Engineer with strong distributed-data/platform experience

  • Data & AI Architect / Technical Lead

Core Technology Stack:

Languages: Python, Java

Data: Apache Spark, Databricks, Snowflake, Delta Lake

Cloud/Platform: Kubernetes, Docker, AWS/Azure/GCP, cloud-native technologies

GenAI/ML: LLMs, RAG, LangChain, LangGraph, AI agents, vector search

Engineering: Distributed systems, APIs, CI/CD, automated testing, observability, scalability

Locations
Warsaw
Remote status
Hybrid
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Contact Justyna Kasperowicz Research Consultant IT – Business Development & Recruitment

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About Infotree Global Solutions

 

At Infotree, meeting your career needs is a top priority. Client satisfaction is largely dependent on the resources we can provide, and we take pride in our delivery. We have a supportive team in place to give quality people a chance to grow and challenge themselves in their roles which has resulted in that we have placed many employees in positions that have grown into lifelong careers.

We have a team of dedicated recruiters and consultant care representatives that are committed to your success and well-being. Check out our open roles to get started.

Infotree Poland Sp. z o.o. is part of Infotree Global Solutions. Agency number: 15970.

Founded in 2002
Co-workers More than 5000
Warsaw · Hybrid

Data Engineer AI Java/Python/Spark

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