Senior Data Engineer

The Codest

. Design and implement data processing pipelines based on business and technical requirements, including data transformation, validation, and mapping .

Posted 10/28/2026full-timeRemote • PolandSenior💰 PLN 22,000 - PLN 30,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing data processing pipelines, with strong proficiency in ETL workflows and data integration across various systems. Possesses advanced SQL and Python skills, along with the ability to collaborate effectively with stakeholders in an international environment.

Highest-signal resume keywords

ETL Tools ExperienceAdvanced SQL SkillsPython for Data ProcessingData Pipeline DevelopmentData Accuracy and Reliability

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Processing PipelinesETL WorkflowsSQL DatabasesData TransformationData ValidationData MappingData Integration WorkflowsData SynchronizationData AccuracyData Integrity

Soft Skills

Strong Communication SkillsAttention to DetailCollaboration with Stakeholders

Tools & Technologies

Apache NiFiDatabricksAWS S3SFTP ServersAPIs

Industry Keywords

Banking PlatformFund AdministrationData EngineeringInternational Team Collaboration

Tech Stack

Tools & technologies

ApacheAWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Design and implement data processing pipelines based on business and technical requirements, including data transformation, validation, and mapping
Build and maintain integrations between APIs, SQL databases, S3 buckets, and SFTP servers
Develop and modify existing ETL workflows and data flows
Process and synchronize data across different systems and formats
Conduct comprehensive testing and validation to ensure data accuracy, integrity, and reliable delivery
Provide post-deployment support and troubleshoot data integration issues
Collaborate with business stakeholders to gather requirements and support production processes when needed
Contribute to a banking platform for one of Japan’s leading financial groups
Support the Fund Administration domain by integrating internal, vendor-hosted, and third-party systems

Requirements

What you’ll need

Advanced English skills, both spoken and written, for collaboration within an international team
5+ years of hands-on experience with ETL tools and data engineering processes in a professional environment
Strong SQL skills and experience working with databases and data integration workflows
Commercial experience with Python for data processing and scripting
Experience designing, developing, and maintaining data pipelines across multiple sources and destinations
Ability to understand complex data flows, coding structures, and logical workflows
Experience collaborating with developers and business stakeholders in an international environment
High attention to detail and a commitment to data accuracy and reliability
Strong communication skills and the ability to engage with stakeholders at different organizational levels
Nice to have: Experience with Apache NiFi for building and maintaining data flows
Nice to have: Familiarity with Databricks, particularly for implementing new data integrations
Nice to have: Experience with cloud-based data storage and services, including AWS S3
Candidates must be currently located in the EU