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!