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Softeta

Senior Data Engineer

Softeta Poland

IT Services and IT Consulting · 51-200 employees

6 d ago
Remote data-engineer Mid (2-5 yrs) Full-time Poland
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About the role

Design, implement, and optimize data architectures and ETL/ELT pipelines to ensure high standards of data quality and performance. Collaborate with cross-functional teams to deliver scalable data solutions and maintain robust monitoring for data workflows.

What they look for

SQL Python ETL/ELT AWS Azure GCP Kubernetes Docker Kafka Spark Flink Airflow dbt Snowflake BigQuery Redshift

Requirements

Requires 3-5+ years of experience in data engineering with proven proficiency in SQL, Python, and cloud platforms. Candidates should have experience with container orchestration, streaming data platforms, and data warehousing solutions.

Benefits

Flexible working hours Hybrid or remote workplace model Flexible schedule Choice of technical equipment

Full 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
  • 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
  • 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.

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