Job Description

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.

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