Senior Data Engineer
Type of Employment:
Full-time
Location:
Remote work
We are looking for a Senior Data Engineer to join a cross-functional product team focused on building a data platform for banking, credit scoring, and analytics use cases. You’ll work on extracting, transforming, and delivering high-quality financial data to support scoring models, customer segmentation, and cohort analysis.
🚀 What You’ll Work On
- Design and build cloud-native data pipelines for batch and structured file ingestion (e.g., core banking data, SFTP, APIs)
- Model and transform data for use in credit decisioning, profitability analysis, and product reporting
- Collaborate with analysts and product managers to translate business rules into reusable data workflows
- Optimize performance, quality, and cost of pipelines across cloud platforms (AWS, GCP, Azure)
- Ensure data governance, security, and compliance (PCI-DSS, SOC 2) in financial environments.
- Strong experience with file-based data ingestion and transformation (e.g., SFTP/CSV-based pipelines, banking extracts)
- Experience working with or supporting financial or banking data workflows, especially in scoring, transactions, or customer behavior
- Proficiency with Python, SQL, and orchestration tools such as Airflow, Spark, or NiFi
- Hands-on work with cloud data warehouses (BigQuery, Redshift, Snowflake) and data lake storage
- Experience collaborating in Agile, product-oriented teams
- Bonus: Exposure to LLM/AI-powered workflows or annotation pipelines.
- 5+ years in data engineering roles focused on ETL/ELT pipelines
- Strong Python and SQL programming skills
- Experience with cloud data platforms (AWS/GCP/Azure)
- Hands-on with workflow orchestration tools (Airflow, NiFi, or similar)
- Familiarity with financial data handling and core analytics needs (e.g., scoring, segmentation)
- Excellent communication in Agile teams
- Experience in banking or fintech domains (credit data, transactions, payment systems)
- Familiarity with data observability, test automation, and documentation practices
- Exposure to AI/LLM-based projects is a plus but not required
- Ability to support multi-tenant SaaS platforms or data productization
