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.

Originally posted on Himalayas