SENIOR DATA ENGINEER

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value. We are seeking for a Senior Data Engineer for our client from the banking sector. Job description: • 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 • 3-5+ experience in a Data engineer position or a similar position, experience in financial industry considered as a Pluss. • Proven experience with SQL and Python; Other ETL engines are a plus • Experience with both SQL and NoSQL databases • Hands-on experience with the cloud platforms (AWS or 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 • Diverse and technically challenging projects. • Flexible working hours and a hybrid or remote workplace model. • Flexible schedule and an Agile/SCRUM environment. • Technical equipment that you can choose.