Data Engineer
What is Data Engineer?
Data Engineer is a professional role at Softeta based in Poland. This role offers competitive compensation and the opportunity to work in the technology sector with modern tools and methodologies.
Employment Type: Type: Full Time
Duration: 1794257788
Work Arrangement: Remote work available with flexible scheduling
Industry: Information Technology & Professional Services
Complete 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
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
What skills are required for this data engineer?
The essential skills and qualifications for this position include:
Additional preferred qualifications may include problem-solving abilities, strong communication skills, and experience working in collaborative team environments.
What type of employment is this data engineer?
This is a Type: Full Time position offering:
- Competitive compensation in EUR currency
- Remote work flexibility
- Professional development opportunities
- Modern technology stack and tools
- 1794257788 engagement period
How can I apply for this data engineer?
To apply for this position, you have the following options:
Apply Online
Submit your application directly through the original job posting for the fastest response.
Contact Person
Softeta (softeta)
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