We are looking for a Senior Data Engineer who will design and build a robust, scalable financial data platform from scratch on Google Cloud.

In this role, you will work closely with the Data Analyst and Finance teams to consolidate transactional and accounting data and ensure that financial information used for P&L calculations, accounting summaries, and auditor reports is accurately extracted, transformed, and delivered into BigQuery.

The position focuses on building reliable data pipelines, structuring financial data models, and creating a single source of truth for financial reporting and analytics.

Key Responsibilities

Architecture & Pipelines
Design, develop, and maintain robust ETL/ELT pipelines using Golang (preferred), Python, Apache Airflow, and dbt. Integrate data from multiple sources including the main transactional database (PostgreSQL), external APIs, and NATS data streams into BigQuery.

Financial Data Modeling
Re-architect and standardize data transformation logic to build reliable data marts for financial reporting, accounting, and P&L tracking within BigQuery.

Data Quality & Compliance
Implement automated data quality checks, metadata governance (OpenMetadata, DataHub), and SLAs to ensure full accuracy and traceability required for financial audits.

Performance Optimization
Optimize analytical workloads and data flows in BigQuery to significantly reduce the execution time of heavy financial reports and month-end closing processes. Use Google Cloud services such as Cloud Run for pipeline execution.

Cross-functional Collaboration
Work directly with the Data Analyst to gather business requirements, design financial data marts, and maintain a single source of truth for financial metrics.

Infrastructure & CI/CD
Support and improve CI/CD processes using GitHub and GitHub Actions for automated deployments. Containerize services and leverage serverless solutions within the Google Cloud environment.

Requirements

3+ years of experience as a Data Engineer, ideally in FinTech or Crypto.
Strong proficiency in SQL.
Experience with Golang (preferred) or Python.
Deep hands-on experience with BigQuery as the primary data warehouse.
Strong knowledge of PostgreSQL.
Experience with modern data orchestration and transformation tools: Apache Airflow, dbt Core, Google Cloud Composer, Google Cloud Dataflow.
Experience working with streaming data ingestion.
Experience implementing data quality monitoring and metadata management.
Understanding of financial data security, integrity, and compliance standards.compliance stand

Interview Process

The hiring process consists of one stage: a technical interview with the team.

For direct applicants only.