Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Data Engineer who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.
It’s a match if you have: — Hands-on experience with Python for data processing and pipeline development. — Hands-on experience developing and maintaining data pipelines in Airflow. — Experience with cloud platforms (AWS preferred). — Strong SQL skills and experience with NoSQL databases (MongoDB). — Experience with Git for version control and collaborative development workflows. — Experience with CI/CD pipelines for building, testing, and deploying data pipelines and related code. — Ability to work independently, take ownership, and collaborate effectively with analysts and product owners. — Excellent collaboration skills.
Your key responsibilities will include: — Develop and maintain data pipelines orchestrated with Airflow using Python-based DAGs. — Develop and maintain data models in the analytical data warehouse (DWH) to support reporting and business intelligence use cases. — Develop and maintain data validation scripts using Python, SQL, and pandas. — Collaborate with analysts and product owners to deliver well-structured, reliable datasets. Nice to have: — Experience with DWH Snowflake. — Experience with DataOps, DevOps practices and performance optimization. — Experience with NoSQL databases (preferably MongoDB).
What we offer:
— Flexible schedule and remote format or offices in Warsaw/Kyiv — you choose. — 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress). — A supportive, friendly team where knowledge-sharing is part of the culture. — Coverage for professional events and learning. — Birthday greetings, team buildings, and warm human connection beyond work. — Zero joules of energy to the aggressor state, its affiliated businesses, or partners.
Send over your CV now — we’d love to get to know you better!
