About this role
The Senior Data Engineer role focuses on architecting and building intelligent data ecosystems that power autonomous, AI-driven workflows for clients across industries such as e-commerce, ticketing, and logistics. The position combines strategic thinking with hands-on engineering to integrate Generative and Agentic AI into scalable data platforms. It is situated in a culture that values curiosity, experimentation, and rethinking legacy models to drive real business impact. The engineer will contribute to high-impact solutions while mentoring others within a collaborative, high-performing environment.
Required Skills
- Python Programming
- Data Engineering
- API Integrations
- Data Transformations
- Pandas
- PySpark
- ETL Pipelines
- ELT Pipelines
- Apache Airflow
- Kafka
+29 more
Qualifications
- Fluency in Lithuanian
- Fluency in English
About NFQ
nfq.comNFQ is a software development and digital product studio that helps ambitious companies drive digital transformation and innovation—summed up by their tagline, "Building Billion Dollar Companies™." They offer end-to-end services including product strategy, UX/UI design, engineering, cloud & data, e‑commerce and marketplace development, and growth engineering. NFQ partners with startups and enterprises to supply outcome‑focused product teams and long‑term engineering partnerships that accelerate scalable growth and measurable business impact.
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