Data Engineer

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. They specialize in building and modernizing backend-heavy, integration-critical systems with a team of 100+ AI and custom software experts across engineering hubs in Lithuania and Poland.

• 3-5+ years experience in a Data Engineer or similar position; experience in financial industry is a plus
• Proven experience with SQL and Python; other ETL engines are a plus
• Experience with both SQL and NoSQL databases
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience with container orchestration tools (Kubernetes, Docker)
• Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink)
• Familiarity with data pipeline tools like Airflow or dbt
• Experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
• Knowledge of solution integrations (real-time, message-based, event-driven)
• Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
• Experience within the risk or finance business domain is a strong advantage
• Ability to take ownership and drive initiatives independently
• Fluent English

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
• Build and optimize data architectures for performance, scalability, and reliability
• Develop and maintain ETL/ELT pipelines using modern tools and frameworks
• Ensure seamless integration and synchronization across systems
• Uphold high standards of data quality, security, availability, and performance
• Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions
• Perform code reviews, troubleshoot software, and fix defects
• Implement monitoring and alerting for data workflows
• Gain expertise in a variety of banking processes and products