Senior Data Engineer

Bonapolia

. Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments .

Posted 10/8/2026full-timeRemote • Lithuania, Latvia, Poland, EstoniaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data ingestion and processing workflows within a Data Mesh architecture, utilizing tools such as Airflow and dbt. Proficient in SQL and Python, with hands-on experience in cloud platforms like AWS, ensuring high standards of data quality and security.

Highest-signal resume keywords

SQLPythonAWSAirflowData Mesh Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLELTData ArchitectureData QualityData SecurityTest AutomationDevOps PracticesCI/CDInfrastructure as CodeMedallion Architecture

Soft Skills

CommunicationCollaboration

Tools & Technologies

DbtSAP Data ServicesOracle DBSAP IQSAP Business Objects

Industry Keywords

Data IngestionData ProcessingCloud-Native ArchitectureReal-Time IntegrationEvent-Driven Solutions

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformOraclePythonSDLCSQL

About the role

Key responsibilities & impact

Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform across AWS cloud and legacy DWH environments
Build and optimize ETL/ELT pipelines and data architectures using Airflow, dbt, and SAP Data Services
Support modernization and migration of legacy data systems toward cloud-native architecture
Ensure high standards of data quality, security, and performance across data workflows
Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions
Perform code reviews
Implement monitoring and alerting
Resolve data pipeline defects
Participate in the EOD ROTA rotation and handle incidents until 23:00–24:00

Requirements

What you’ll need

Proven hands-on 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 Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects
Knowledge of real-time, message-based, and event-driven solution integrations, 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 SDLC
Experience with Data Products deliveries, Medallion architecture, and Data Mesh architecture
Strong communication and collaboration skills
English language required
Availability for incident resolution until 23:00–24:00 during EOD ROTA rotation
Citizenship of a Baltic State or Poland

Benefits

Comp & perks

Fully remote work arrangement
12-month contract duration