data engineer in fintech

The project aims to build a data platform for advanced analytics, AI, real-time solutions, and scalable digital growth.

• Design, develop, and maintain batch and real-time pipelines;
• Develop and optimize data ingestion frameworks for core banking, digital channels, CRM, payment systems, and external sources;
• Develop ETL/ELT processes;
• Create transformation models, curated datasets, and production-grade data products;
• Contribute to the implementation and development of a lakehouse architecture;
• Implement automated data quality controls, reconciliation rules, monitoring, and alerting;
• Build and maintain real-time and near-real-time streaming solutions;
• Optimize storage, performance, scalability, and resource usage;
• Integrate analytics and AI-ready components into the target platform;
• Implement CI/CD for pipelines, transformations, and platform components;
• Improve operational efficiency with Platform Engineering and DataOps;
• Contribute to observability, performance monitoring, incident analysis, and production support;
• Prepare reliable, documented datasets for self-service analytics;
• Build production-grade pipelines for AI, ML, and advanced analytics.

• A degree in Computer Science, Engineering, Information Systems, mathematics, or a related field;
• 3+ Years of experience in data engineering or data platform development;
• Strong SQL, Python, and shell scripting skills;
• Experience designing and operating enterprise-scale ETL/ELT pipelines;
• Experience with Apache Spark or similar distributed frameworks;
• Experience with data lakes, lakehouses, DWH, or cloud-native platforms;
• Knowledge of data modelling, data quality, and software engineering principles;
• Experience with APIs, event streaming, and ingestion from source systems;
• English proficiency of at least B2;
• Nice to have: Kafka, Airflow / Argo Workflows, Iceberg / Delta Lake or equivalents, ML pipelines, feature stores, MLOps, banking or financial sector experience, participation in data migrations and large transformation programs.

• Hybrid work in Chișinău, Moldova;
• Full-time role.