Senior Data Engineer

2 tygodni temu

Warszawa, Mazovia, Polska Bonapolia Pełny etat

We are looking for a Senior Data Engineer:

English Proficiency: Intermediate

Employment type: Full time

Candidate Location: EU

Working Time Zone: CET

Start: ASAP

Planned Work Duration: 6+ months

Customer Description:

The customer is a global mobility and urban services platform offering ride-hailing, intercity travel, delivery, and task assistance services.

Project Description:

The project involves developing scalable, high-performance data pipelines and data infrastructure to support analytics and core business processes.

The role requires deep expertise in Python, SQL, and data architecture with a focus on building reliable data delivery systems.

Project Phase: ongoing

Soft Skills:


• Excellent self-management and ability to work independently


• Proactive ownership-driven mindset


• Clear and effective communication within distributed teams


• Collaborative attitude and openness to feedback


• Strong problem-solving in ambiguous environments


• High attention to detail and code quality


• Adaptability to shifting priorities and new technologies

Hard Skills / Must Have:


• Expert proficiency in Python 3.7+ and SQL (advanced level)


• Deep understanding of multi-layered DWH architecture  (e.g., Raw, ODS/Staging, Data Marts).


• Experience building ETL workflows with workflow orchestrators


• Strong knowledge of OOP, design patterns, and clean architecture


• Experience with major cloud object storage services


• Experience with cloud data warehouse platforms


• Mandatory experience with Git for version control

Hard Skills / Nice to Have:


• Experience with high-load/low-latency systems or message brokers


• Experience with DevOps practices and CI/CD automation tools


• Experience with Infrastructure as Code such as Terraform


• Experience with containerization and orchestration technologies


• Participation in testing and investigation of data quality incidents

Responsibilities and Tasks:


• Design and maintain end-to-end data pipelines (ETL/ELT)


• Build scalable and cost-efficient data infrastructure in the cloud


• Implement monitoring, alerting, and automated validation for data flows


• Participate in data architecture design with focus on resilience and performance


• Optimize existing pipelines and queries for performance and cost efficiency


• Collaborate with analysts to clarify technical requirements


• Conduct root cause analysis for data quality incidents and propose solutions


• Create and maintain technical documentation including schema and lineage

Technology Stack: Python, SQL, DWH architecture, Airflow

Interview stages:


• English check (15 minutes)


• internal technical interview (1-1,5 hour)


• client interview (1 hour)


• client interview – team fit (45 minutes)

Ready to Join?
We look forward to receiving your application and welcoming you to our team

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