
Freelance Senior Data Engineer
Wise Integration · Remote
- IT Services & Consulting
- 2–10 employees
Mixed hiring record · median 41 days open
All reasons
- 26% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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
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