Senior Data Software Engineer

eTeam; Warszawa; On-site; PLN 256,000 - 300,000; Full time

Job summary

eTeam is seeking an experienced Senior Data Engineer / Software Engineer to lead development on cloud-based data platforms and large-scale data pipelines. The role emphasizes hands-on coding in Java and Python, with strong focus on distributed processing and modern software engineering practices.

Ideal candidates will have extensive experience with Kubernetes, Spark, Snowflake, and Databricks, and will contribute to Gen AI/ML applications using LangChain and LangGraph.

Qualifications

• 5+ years of professional software/data engineering experience.
• Strong hands-on experience with Java and Python.
• Experience working with Kubernetes and cloud-native technologies.
• Proven experience building and maintaining large-scale data pipelines and distributed processing systems.
• Hands-on experience with Spark, Snowflake, and Databricks.
• Experience with Generative AI / Machine Learning-based applications.
• Knowledge of LLM applications and Generative AI frameworks such as LangChain and LangGraph is highly desirable.
• Strong software engineering skills, including experience developing production-ready, reliable, and testable code.
• Ability to provide technical leadership and work effectively across teams.

Responsibilities

• Develop, test, and maintain high-quality, production-ready code.
• Demonstrate technical leadership by taking ownership of cross-team projects.
• Design and develop libraries and frameworks that support reliable and testable systems.
• Build and maintain solutions across modern cloud-based data platforms.
• Develop and maintain large-scale data pipelines and distributed processing systems.
• Work with technologies including Java, Python, Kubernetes, Spark, Snowflake, and Databricks.
• Contribute to the development and implementation of Gen AI / ML-based applications.
• Work with Generative AI frameworks and LLM-based applications, including LangChain and LangGraph.

Skills

Java

Python

Kubernetes

Cloud-native tech

Distributed processing

Production-ready code

LangChain

LangGraph

Generative AI

Spark

Snowflake

Databricks

Tools

Spark

Snowflake

Databricks

LangChain

LangGraph

Kubernetes

Job description

Type of contract: fixed term contract with a possibility of extension

Contract duration: 12 months with a possibility of extension

Pay rate: 185,70 /h - 217, 62 PLN/h B2B

(The final rate can vary depending on level of experience and the form of the contract)

Our client: A leading global investment banking, securities, and asset management organization that provides a wide range of financial services to a substantial and diversified client base.

Senior Data Software Engineer

Job Summary

We are seeking an experienced Senior Data Engineer / Software Engineer with strong hands‑on expertise in cloud-based data platforms, distributed data processing, and modern software engineering. The successful candidate will develop and maintain production-ready solutions, provide technical leadership across projects, and build reliable libraries and frameworks. Experience with Generative AI and Machine Learning applications is highly desirable.

Key Responsibilities

• Develop, test, and maintain high-quality, production‑ready code.
• Demonstrate technical leadership by taking ownership of cross‑team projects.
• Design and develop libraries and frameworks that support reliable and testable systems.
• Build and maintain solutions across modern cloud‑based data platforms.
• Develop and maintain large‑scale data pipelines and distributed processing systems.
• Work with technologies including Java, Python, Kubernetes, Spark, Snowflake, and Databricks.
• Contribute to the development and implementation of Gen AI / ML‑based applications.
• Work with Generative AI frameworks and LLM‑based applications, including technologies such as LangChain and LangGraph.

Required Qualifications

• 5+ years of professional software/data engineering experience.
• Strong hands‑on experience with Java and Python.
• Experience working with Kubernetes and cloud‑native technologies.
• Proven experience building and maintaining large‑scale data pipelines and distributed processing systems.
• Hands‑on experience with Spark, Snowflake, and Databricks.
• Experience with Generative AI / Machine Learning‑based applications.
• Knowledge of LLM applications and Generative AI frameworks such as LangChain and LangGraph is highly desirable.
• Strong software engineering skills, including experience developing production‑ready, reliable, and testable code.
• Ability to provide technical leadership and work effectively across teams.