[Hiring] Senior Data Analytics Engineer @Bonapolia

Role Description

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

Project Description

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

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!