Key Responsibilities

• Gather and clarify requirements from analytics and finance stakeholders
• Design and evolve DWH architecture (ODS / Data Marts) with audit requirements in mind
• Develop and maintain financial data pipelines
• Design, implement, and support incremental data pipelines
• Develop and optimize data marts in BigQuery (Dataform)
• Analyze source systems and build data flows from source to consumption
• Maintain and develop workflows in Airflow
• Participate in testing, data validation, and release processes
• Investigate data quality issues and financial discrepancies
• Maintain technical documentation required for audit and data governance

Skills, Knowledge and Expertise

• 2–3+ years of experience as an Analytics Engineer / DWH Engineer / Data Analyst working with DWH
• Hands-on experience with data warehouses
• Strong understanding of DWH architecture and data layers (ODS, Data Marts)
• Understanding of incremental loads, historical data handling, and deduplication
• Strong SQL skills
• Experience designing and optimizing data marts
• Experience with BigQuery (partitioning, clustering, cost-aware querying)
• Experience with Airflow or similar orchestration tools
• Python for data processing and ETL tasks
• Ability to work with stakeholders and translate business needs into data requirements

• Cloud & Storage: Google Cloud Platform (BigQuery, Dataform, Cloud Storage)
• Streaming: Kafka-based data delivery pipelines (streaming, schemas, delivery guarantees)
• Processing frameworks: Spark, Apache Beam
• Analytics & BI: Looker, Tableau
• Experience working with financial data or financial reporting
• Experience preparing data for audits or regulatory requirements

Conditions & Benefits

• Modern cloud technical stack
• Real impact on data architecture and processes
• Flexible work schedule and format
• Health insurance
• Learning and professional development support
• Access to psychological, financial, and legal support programs