Data Engineer

SOFTETA

Senior Data Engineer designing, implementing, and improving data architectures for clients in banking. Collaborating with teams to optimize data processes and maintain high standards.

Posted 6/16/2026full-timeRemote • 🇵🇱 PolandMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformKafkaKubernetesNoSQLPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonETLELTNoSQLdata warehousingstreaming data pipelinestest automationDevOpsinfrastructure as code

Soft Skills

collaborationproblem-solvingownershipinitiativecommunication