Estimated gross salary
Salary not specified
Market context and permit guidance are indicative. Always verify details with the employer.
Location
Poland
Posted
9 hours ago
Work model
Hybrid
Visa
Not specified
The role
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.
Similar Positions