Senior Python Developer

Senior Data Engineers (Python)
Tech Level: Senior

• Language Proficiency: Intermediate

Location: Europe

• Employment type: Full time

• 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