• Tech Level: Middle
• Language Proficiency: Intermediate
• Employment type: Full time
• Candidate Location: Europe
• Working Time Zone: CET
• Start: ASAP
• Planned Work Duration: 3+ months
  

Customer Description:
The customer is a global mobility and urban services platform that enables users to access transportation and on-demand services through a digital marketplace.
The platform supports ride booking, intercity travel, delivery, and task-based services, focusing on flexibility, transparency, and direct interaction between users and service providers.
Project Description:
The project focuses on building and evolving a large-scale data ecosystem that supports analytics and core business operations.
The team is responsible for developing reliable, high-performance data pipelines and scalable data infrastructure to ensure timely and trustworthy data delivery across the organization.
Project Phase: Ongoing
Project Team: On the client’s side
Soft Skills:

• Strong self-management and ability to work independently while meeting deadlines
• Proactive, ownership-driven mindset with a results-oriented approach
• Clear and effective communication skills, including collaboration within distributed teams
• Collaborative attitude, openness to feedback, and focus on shared goals
• Strong problem-solving abilities, particularly in ambiguous or evolving contexts
• High attention to detail and commitment to code quality
• Adaptability to changing priorities and new technologies
  

Hard Skills / Must Have:

• Expert proficiency in Python 3.7+ for data pipeline development
• Advanced SQL skills
• Deep understanding of multi-layered data warehouse architectures (Raw, Staging, Data Marts)
• Extensive experience building ETL/ELT pipelines using Airflow 2
• Strong knowledge of object-oriented programming, design patterns, and clean architecture principles
• Professional experience with cloud-based object storage services
• Hands-on experience with cloud data warehouses
• Mandatory experience with Git for version control and collaborative development
• Russian language is a must
  

Hard Skills / Nice to Have:

• Experience with high-load or low-latency data systems and message brokers
• Practical knowledge of DevOps practices and CI/CD automation
• Experience with Infrastructure as Code, particularly Terraform
• Understanding of containerization and orchestration technologies such as Docker and Kubernetes
• Experience participating in testing, acceptance of developed functionality, and investigation of data quality issues
  

Responsibilities and Tasks:

• Design, develop, and maintain end-to-end data pipelines from diverse source systems to the data warehouse
• Build scalable and cost-efficient infrastructure for storing and processing large volumes of data
• Implement and improve monitoring, alerting, and automated data quality validation systems
• Contribute to system design and data architecture evolution with a focus on performance, resilience, and security
• Optimize existing data pipelines and warehouse queries for efficiency and cost reduction
• Collaborate closely with data analysts to clarify requirements and transformation logic
• Perform root cause analysis of data quality incidents and implement long-term preventive solutions
• Create and maintain technical documentation covering schemas, pipeline architecture, and data lineage
  

Technology Stack: Python, SQL, Spark, Apache Beam, Cloud platforms, Apache Kafka, Kubernetes, Managed messaging services, Debezium, Airflow 2, Terraform, GitHub, CI/CD tools, Jira
📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!
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