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.
Skills Required
- 3-5+ years of experience as a Data Engineer or in a similar position
- Proven experience with SQL and Python
- Experience with SQL and NoSQL databases
- Hands-on experience with AWS, Azure, or Google Cloud Platform
- Experience with Kubernetes and Docker
- Understanding of streaming data pipelines and Kafka, Spark, or Flink
- Familiarity with Airflow or dbt
- Experience with Snowflake, BigQuery, or Redshift
- Knowledge of real-time, message-based, and event-driven integrations
- Exposure to test automation and DevOps practices, including infrastructure as code and security best practices
- Experience in the financial industry
- Experience within risk or finance business domains
- Ability to take ownership and drive initiatives independently
- Fluent English
What We Do
SOFTETA is an international full-cycle software development and consultancy partner. We implement 20 years of joint experience in IT and kick-off projects faster that probably anyone else on the market in order to save our clients time & money. In Softeta you get fast, cutting-edge service and effective, easy communication.
