Senior Data Engineer

Softeta; Poland; On-site; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid or remote workplace

Tech equipment provided

Job summary

Softeta is seeking a Senior Data Engineer for a client in the banking sector. You will design, build, and optimize data ingestion, processing, and storage systems to support analytics and reporting.

You will work on ETL/ELT pipelines, ensure data quality and security, and collaborate with analysts and engineers to deliver data-driven solutions across hybrid or remote setups.

Qualifications

• 3-5+ years in data engineering; finance domain is a plus.
• Strong SQL and Python experience.
• Experience with both SQL and NoSQL databases.

Responsibilities

• Design, implement and improve data ingestion, processing, storage and sharing systems.
• Build scalable, reliable data architectures.
• Develop and maintain ETL/ELT pipelines with modern tools.
• Ensure seamless integration and synchronization across systems.
• Uphold high standards of data quality, security, availability and performance.
• Collaborate with analysts and engineers to deliver data solutions.
• Perform code reviews, troubleshoot and fix defects.
• Implement monitoring and alerting for data workflows.
• Gain deep knowledge of banking processes and products.

Skills

SQL

Python

NoSQL

Cloud

Kubernetes

Docker

Kafka

Spark

Flink

Airflow

dbt

Snowflake

BigQuery

Redshift

Data warehousing

English

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

• 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.