Senior Data Engineer (вакансія неактивна)

About the Project

As a Senior Data Engineer, you’ll be part of a Fintech project, that is developing a modern, cloud-based data platform that serves as the backbone of its data-driven decision-making.
The platform consolidates, transforms, and analyzes large volumes of financial and operational data to provide a single, trustworthy source of truth for analytics, reporting, and automation.

Must-have for the position

• 4+ years of experience as a Data Engineer or BI Developer
  
• Strong SQL skills and hands-on experience with data modeling (dimensional and relational)
• Proficiency in modern data warehouses (preferably Snowflake)
• Experience with data orchestration and transformation tools (Airflow, dbt, or Meltano)
• Good understanding of AWS and containerized environments (Kubernetes)
• Ability to design scalable and efficient data pipelines
  
• Excellent communication skills — ability to explain data concepts to non-technical stakeholders

Will be a strong plus

• Experience in regulated or FinTech environments
  
• Understanding of compliance and reporting requirements within financial services
• Familiarity with Fivetran or other ingestion tools
• Knowledge of stream processing, message queuing, and big data concepts

Responsibilities

• Design, implement, and maintain ETL/ELT pipelines and data flows in Snowflake
  
• Build and document data transformations using dbt or Meltano
  
• Ensure data quality, reliability, and traceability through validation, monitoring, and documentation
• Develop scalable and secure data architectures supporting current and future needs
• Collaborate with business and analytics teams to translate requirements into sustainable data solutions
• Identify and implement improvements to increase automation and efficiency
  
• Perform root cause analysis on data and processes to optimize data performance and integrity
• Support cross-functional teams in leveraging data for business impact
  
  

Team Composition:
You’ll work within a squad of 2 Data Engineers in the international team.

Working conditions
Work schedule: Central European business hours overlap;
Engagement: long-term, full-time;
Fully Remote: This role offers the flexibility to work from anywhere.

Interview process

• HR Interview: Initial discussion with our recruiter (30-45 minutes).
• KITRUM’s Technical Interview.
  Client Interviews:
• 60-minute Technical interview round
• 30-minute Technical interview round

Why you’ll love working here

• Competitive Pay: We offer compensation that reflects your skills and experience;
• Remote Flexibility: Work from anywhere — our team is distributed across the globe;
• Professional Growth: Access to continuous learning opportunities, including paid courses, certifications, mentorship;
• Work-Life Balance: 30 days of paid vacation and 6 paid sick days per year, plus flexible hours;
• Inclusive Culture: We embrace diversity and foster a culture of trust, transparency, and mutual respect;
• Cool Perks: Join our virtual team events, get a budget for your home office setup, and enjoy access to exclusive content and tools.