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, build, and improve data architectures with a focus on performance, scalability, and reliability.
• Develop and maintain ETL/ELT pipelines for data ingestion, transformation, storage, and sharing.
• Integrate data across systems and ensure consistent, reliable synchronization.
• Maintain high standards of data quality, security, and availability, supported by monitoring and alerting.
• Collaborate with analysts, software engineers, and business stakeholders to translate data needs into practical solutions.
• Review code, troubleshoot data workflows, resolve defects, and continuously improve engineering practices.

Requirements

• 5+ years of experience in data engineering or a similar role. Experience in financial services, particularly risk or finance, is a strong advantage.
• Strong SQL and Python skills. Familiarity with additional ETL tools is a plus.
• Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).
• Data warehousing solutions such as BigQuery or Redshift.
• Experience with Docker and Kubernetes, alongside familiarity with DevOps practices, Terraform, test automation, infrastructure as code, and security best practices.
• Understanding of streaming data pipelines and technologies such as Kafka, Spark, or Flink.
• Familiarity with orchestration or transformation tools such as Airflow or dbt.
• Knowledge of system integration approaches, including real-time, message-based, and event-driven integrations.

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.