Senior Data Analytics Engineer

We are looking for a Senior Data Analytics Engineer:
Employment type:
Full time

Candidate Location:
Poland, Kazakhstan, Armenia

Working Time Zone:
CET

Planned Work Duration:
12 months

👥 Customer Description:
The customer is a global mobility and urban services platform providing transportation and related digital services.

🧩 Project Description:
The project focuses on building and maintaining enterprise data pipelines and a centralized data warehouse environment based on cloud technologies.

⚙️ Project Phase:
ongoing

🤝 Soft Skills:

• Russian language proficiency.
• English language proficiency at B1 level or higher.
• Highly proactive with the ability to identify stakeholders and drive tasks independently.

💡 Hard Skills / Must Have:

• 3+ years of experience as an Analytics Engineer, DWH Engineer, or Data Analyst working with data warehouses.
• Hands-on experience with enterprise data warehouses.
• Strong understanding of DWH architecture and data layers, including ODS and Data Marts.
• Knowledge of incremental data loading, historical data handling, and deduplication techniques.
• Strong SQL skills.
• Experience designing and optimizing data marts.
• Experience with cloud data warehouse platforms, including partitioning, clustering, and cost optimization.
• Experience with workflow orchestration tools.
• Ability to work with stakeholders and translate business requirements into data solutions.
• Basic Python knowledge.
• Git proficiency.
• Experience with Data Quality, Data Governance, and SLA management.

✨ Hard Skills / Nice to Have:

• Experience with cloud platforms storage services (Google Cloud Platform (BigQuery, Dataform, Cloud Storage).
• Experience with business intelligence tools.
• Experience working with financial data and reporting.
• Experience preparing data for audits or regulatory requirements.

📌 Responsibilities:

• Gather and clarify requirements from analytics, finance, and business stakeholders.
• Design and evolve DWH architecture, including ODS and Data Marts, with audit requirements in mind.
• Develop and maintain financial data pipelines.
• Design, implement, and support incremental data processing pipelines.
• Develop and optimize data marts in cloud data warehouse environments.
• Analyze source systems and design end-to-end data flows.
• Maintain and enhance workflow orchestration processes.
• Participate in testing, data validation, and release activities.
• Investigate data quality issues and financial discrepancies.
• Maintain technical documentation required for audit and data governance processes.

🧪 Technology Stack:
DWH, SQL, ODS, Data Marts, BigQuery, workflow orchestration tools, Git

📞 Interview stages:

• English check (15 minutes)
• internal technical interview (1-1,5 hour)
• client interview (1 hour)
• client interview -cultural fit (30 minutes)

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