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!