Senior Data Analytics Engineer

We are looking for a Senior Data Analytics Engineer

• Language Proficiency: Intermediate
• 🧾 Employment type: Full time
• 🌍 Candidate Location: Poland, Kazakhstan, Armenia
• 🕐 Working Time Zone: CET
• 🚀 Start: ASAP
• 🧭 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 Google Cloud Platform 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.
• Daily, hands-on production experience with Google Cloud Platform, specifically BigQuery (partitioning, clustering, cost-aware querying) as the primary data warehouse — this is a hard requirement, not prior/occasional exposure.
• Hands-on experience with dbt or Dataform for building and maintaining incremental models, including history tracking and deduplication logic.
• 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, implemented specifically via dbt/Dataform incremental models.
• Strong SQL skills.
• Experience designing and optimizing data marts.
• Experience with workflow orchestration on GCP (e.g., Cloud Composer / Airflow).
• 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 additional GCP storage/services (Cloud Storage, Pub/Sub, Dataflow).
• 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 in dbt/Dataform, with history tracking and deduplication.
• Develop and optimize data marts in BigQuery.
• Analyze source systems and design end-to-end data flows.
• Maintain and enhance workflow orchestration processes (Cloud Composer/Airflow).
• 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: GCP, BigQuery, dbt/Dataform, Cloud Composer (Airflow), SQL, ODS, Data Marts, 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!