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Senior Data Engineer

Bonapolia Tallinn, Estonia

IT Services and IT Consulting · 2-10 employees

3 h ago
Remote data-engineer Senior (5-10 yrs) Full-time Latvia
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About the role

Design and implement scalable data ingestion, processing, and storage solutions within a Data Mesh platform. Collaborate with cross-functional teams to modernize legacy data systems and ensure high standards of data quality and performance.

What they look for

SQL Python AWS Airflow Dbt Oracle DB SAP Data Services Data Mesh Medallion Architecture ETL/ELT Data Engineering Cloud-native Architecture DevOps CI/CD Infrastructure as Code Data Quality

Requirements

Requires proven hands-on experience with SQL, Python, and cloud platforms like AWS. Candidates must have a strong understanding of data pipeline tools, enterprise data platforms, and modern architectural patterns like Data Mesh.

Full description

Project/Client: Banking Location: Baltic States and Poland Citizen (remote) Start Date: ASAP Duration: 12 months Language: English

Role Overview:

We are looking for an experienced Senior Data Engineer to join a cross-functional Agile team within the banking domain. The role focuses on designing and improving end-to-end data solutions across AWS cloud and on-premises (Oracle DB) environments, working with Airflow, dbt, and SAP Data Services, and contributing to Data Mesh and Medallion architecture implementations.

Key Responsibilities:

  • 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 all data workflows
  • Collaborate with analysts, engineers, and business stakeholders to deliver scalable data solutions
  • Perform code reviews, implement monitoring and alerting, and resolve data pipeline defects
  • Participate in the EOD ROTA rotation, with availability for incident resolution until 23:00-24:00

Must-Have Requirements:

  • 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 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 SDLC
  • Experience with Data Products deliveries, Medallion architecture, and Data Mesh architecture
  • Strong communication and collaboration skills

📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

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