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!