Data Engineer

Visa Hunt; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Flexible working hours

Hybrid/Remote workplace

Technical equipment of your choice

Job summary

Softeta is seeking a Senior Data Engineer for a banking-sector client. You will design and optimize data ingestion, processing and storage, building scalable ETL/ELT pipelines using modern tools. The role requires SQL, Python, cloud platforms, and experience with data warehousing and streaming technologies.

Hybrid or remote work options are available, with emphasis on data quality, security and collaboration with analysts and stakeholders across business units.

Qualifications

• 3-5+ years in a Data Engineer role, financial industry experience is a plus.
• Solid SQL and Python experience.
• Experience with SQL and NoSQL databases.
• Cloud platforms (AWS/Azure/GCP).
• Kubernetes and Docker for orchestration.
• Experience with streaming pipelines (Kafka, Spark, Flink).
• Data warehousing solutions (Snowflake/BigQuery/Redshift).
• Familiarity with Airflow or dbt.
• Knowledge of data integrations (real-time, event-driven).
• Experience with DevOps and IaC security practices.
• Fluent English.

Responsibilities

• Design and improve data ingestion, processing, storage and sharing systems.
• Build data architectures for performance, scalability and reliability.
• Develop ETL/ELT pipelines with modern tools.
• Ensure data quality, security, availability and performance.
• Collaborate with analysts, engineers and stakeholders to meet data needs.
• Conduct code reviews and troubleshoot defects.
• Implement monitoring and alerting for data workflows.
• Gain expertise in banking processes and products.

Skills

SQL

Python

Cloud platforms

Kubernetes

Docker

Kafka / Streaming

Airflow / dbt

Data warehousing

English

Tools

Snowflake

BigQuery

Redshift

Airflow

dbt

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