Data Engineer (Fintech)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Data Engineer (Fintech): Design, build, and maintain scalable data pipelines and integrations with an accent on ETL/ELT processes, data transformation using Python, Airflow, dbt, and Redshift. Focus on analyzing business workflows, developing POCs, containerizing workloads with Docker, deploying to AWS, and improving processes through automation and AI-driven approaches.
Location: Remote from anywhere in the world or from offices in Kyiv, Lviv, Warsaw
Company
IT company helping businesses thrive through technology partnerships and knowledge sharing in engineering community.
What you will do
- Analyze business workflows to identify data automation and pipeline opportunities
- Design, build, and maintain scalable data pipelines and integrations
- Containerize data workloads using Docker and deploy to cloud infrastructure
- Develop prototypes and POCs to validate ideas quickly
- Collaborate with business and technical teams to refine requirements and iterate on solutions
- Support deployment and integration of data solutions into production
- Continuously improve data processes through automation and AI-driven approaches
- Contribute to data modeling, quality, and observability practices
Requirements
- 3+ years of experience in Data Engineering
- Strong data engineering background with 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
- Excellent communication skills to explain technical decisions to non-technical stakeholders
- Self-directed and proactive: spot workflow inefficiencies and drive improvements independently
- Product thinking: collaborate with business teams, propose solutions, build POCs, iterate, and support deployment
Nice to have
- Exposure to BI/analytics environments
- Experience in cross-functional product teams
- Familiarity with cloud-based data platforms
Culture & Benefits
- Competitive salary, performance appraisals, professional development support including courses and certifications
- Paid vacation (18 days), sick leave (15 days), VIP medical insurance or sports coverage
- Remote from anywhere or offices, coworking compensation, necessary equipment
- Collaborative open culture, corporate activities, charity fund
- Modern tech stack on challenging long-term projects
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β