About the role
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
Requirements
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
Benefits
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.
Originally posted on Himalayas