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 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.

Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-engineer-softeta