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We are looking for a strong Software Engineer with experience in data engineering to join an international team working on large-scale solutions in the financial domain. This role involves building robust, scalable, and maintainable data pipelines and services in a cloud-based environment. You’ll be part of a cross-functional, high-performance team working with real-time and high-volume data systems.
As part of a fast-growing and dynamic team, we value people who are proactive, self-driven, and detail-oriented professionals who can work independently while keeping the broader product vision in mind.
Key Responsibilities:
Design and develop microservices for the data engineering team (Java-based, running on Kubernetes)
Build and maintain high-performance ETL workflows and data ingestion logic
Handle data velocity, duplication, schema validation/versioning, and availability
Integrate third-party data sources to enrich financial data
Collaborate with cross-functional teams to align data consumption formats and standards
Optimize data storage, queries, and delivery for internal and external consumers
Maintain observability and monitoring across services and pipelines
Requirements:
3+ years of experience with Java (in production environments)
3+ years in data engineering and pipeline development with large volumes of data
Experience with ETL workflows and data processing using cloud-native tools
Strong knowledge of SQL, relational and non-relational databases, and performance optimization
Experience with monitoring tools (e.g., Prometheus, Grafana, Datadog)
Familiarity with Kubernetes, Kafka, Redis, Snowflake, Clickhouse, Apache Airflow
Solid understanding of software engineering principles and object-oriented design
Ability to work independently and proactively, with strong communication skills
Nice to Have:
Background in fintech or trading-related industries
Degree in Computer Science or related technical field
Experience with high-availability infrastructure design
About the project:
This is a long-term FinTech project focused on trade data monitoring and fraud detection. The engineering team is distributed across several countries and works with modern cloud-native technologies. You'll be part of an environment that values accountability, clarity, and product thinking.
