At Geniusee, we help businesses thrive through technology partnerships and strengthen the engineering community by sharing knowledge and creating opportunities 🙌

We live by our values: Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness, and Result-Driven Mindset. Here, you’ll find a safe, inclusive, and supportive environment where your voice is heard, and feedback is welcome 🤗

Whether you want to work from home or from our offices in Kyiv / Lviv / Warsaw with stable electricity and Wi-Fi, we’ve got you covered.
Join us and make an impact 💜

About the project:
FinTech

REQUIREMENTS:
● 3+ years of experience in Data Engineering
● Strong data engineering background with the ability to design and own solutions end-to-end
● Proficiency in Python, Airflow, dbt, and Redshift for data processing, pipeline development, and transformation
● Experience building and maintaining ETL / ELT pipelines and data integrations, including fetching and normalizing data from non-robust 3rd party sources
● Hands-on experience with LLM/agent-based automation applied to business processes (e.g., building agents or LLM-powered workflows for data transformation, testing, or extraction)
● Practical familiarity with modern AI tooling — LLM APIs (OpenAI, Anthropic, etc.), RAG patterns, prompt engineering, and agent frameworks (LangChain, LlamaIndex, or similar)
● Cross-functional flexibility: comfortable stepping beyond pure DE work into adjacent areas — light DevOps (Docker, CI/CD, cloud deployment), backend integration, and basic frontend when a POC requires it
● Excellent communication skills — able to explain technical decisions to non-technical stakeholders
● Self-directed and proactive: able to spot workflow inefficiencies and drive improvements with minimal supervision
● Product thinking: collaborate with business teams, propose solution approaches, build quick POCs, iterate on feedback, and support production deployment

RESPONSIBILITIES:
● Analyze business workflows and identify opportunities for data automation and AI-driven process automation
● Design, build, and maintain scalable data pipelines and integrations, including ingestion from unreliable or unstructured 3rd party sources
● Build LLM- and agent-based solutions for data transformation, validation/testing, and extraction tasks
● Containerize data and AI workloads using Docker and deploy to cloud infrastructure (AWS)
● Develop prototypes and POCs to validate ideas quickly — both data pipelines and AI-powered workflows
● Collaborate with business and technical teams to refine requirements and iterate on solutions
● Support the deployment and integration of data and AI solutions into production systems
● Continuously improve data processes through automation and AI-driven approaches
● Contribute to data modeling, quality, and observability practices

Preferred Experience:
● Experience combining traditional ETL/data pipelines with LLM/agent components in production or near-production settings
● Experience working in cross-functional product teams
● Familiarity with cloud-based data platforms (AWS preferred)
● Experience with vector stores, embeddings, or retrieval-augmented generation (RAG)

What will you get:

Career growth & projects
● Competitive salary based on your skills and experience, and a benefits package.
● Regular performance appraisals to support your career development.
● Professional development support: online courses, certifications, and study compensation (including English courses).
● A modern tech stack across challenging, long-term projects.

Health & well-being
● Paid vacation (18 working days) and sick leave (15 days).
● VIP medical insurance or sports coverage.

Work environment & flexibility
● Remote work from anywhere in the world or in one of our offices in Kyiv, Lviv, or Warsaw.
● Coworking compensation.
● Necessary equipment to perform your work.

Culture & community
● A collaborative and open culture where contributions are recognized.
● Regular corporate online & offline activities.
● Geniusee Charity Fund, making a difference beyond tech.