Senior Data Engineer

Bonapolia

Senior Data Engineer designing end-to-end data solutions across cloud and on-premises for banking. Collaborating with cross-functional Agile teams in a Pan-Baltic international environment.

Posted 7/21/2026full-timeRemote • 🇱🇹 LithuaniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data architectures across cloud and legacy environments, with a strong focus on data ingestion, processing, and quality. Proficient in SQL, Python, and modern data pipeline tools, ensuring effective collaboration and solution delivery in a fast-paced, cross-functional Agile team.

Highest-signal resume keywords

SQLPythonAWS Cloud PlatformsETL / ELT PipelinesData Mesh Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData ProcessingData StorageData QualityData SecurityData AvailabilityData PerformanceTest AutomationDevOps PracticesCI/CD

Soft Skills

ProactiveDetail-OrientedOwnershipCollaborationAdaptability

Tools & Technologies

AirflowDbtOracle DBSAP IQSAP Data ServicesSAP Business Objects

Industry Keywords

Data MeshMedallion ArchitectureCloud MigrationLegacy Systems IntegrationBanking Data Needs

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformOraclePythonSDLCSQL

About the role

Key responsibilities & impact

Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing within a Data Mesh platform across cloud and legacy DWH environments
Build and optimize AWS cloud and on-premises (Oracle DB) data architectures for performance, scalability, and reliability
Develop and maintain ETL / ELT pipelines using modern tools and frameworks to support regulatory, operational, and analytical needs across banking areas
Support and modernize legacy data systems, ensuring smooth migration toward cloud platform architecture
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 resolve defects
Implement monitoring and alerting for data workflows
Participate in the EOD process — including a one-week ROTA rotation with availability until 23:00–24:00 for incident troubleshooting and resolution
Work as part of a cross-functional Agile team in a Pan-Baltic international environment

Requirements

What you’ll need

Proven experience with SQL and Python
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Good understanding of data pipeline tools such as Airflow or dbt
Working knowledge of enterprise data platforms: Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects
Knowledge of solution integrations — real-time, message-based, and event-driven architectures — including bridging legacy systems with modern data platforms
Exposure to test automation and DevOps practices, including infrastructure as code, security best practices, CI/CD, and Software Development Lifecycle (SDLC)
Experience with Data Products deliveries, Medallion architecture, and Data Mesh architecture
Fluent English (spoken and written) — required for Pan-Baltic cross-team collaboration
Proactive, detail-oriented, and capable of taking full ownership of solution delivery
Ability to thrive in a fast-changing environment with evolving technologies and priorities
EU citizenship or valid work permit.

Benefits

Comp & perks

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