Freelance Data Engineer

Wise Integration; USA; Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Wise Integration is seeking an experienced Senior Data Engineer to join a cross-functional Agile team in the banking domain. You will design and evolve end-to-end data solutions across AWS cloud and on-prem Oracle DB, working with Airflow, dbt, and SAP Data Services to enable Data Mesh and Medallion architectures.

You will ensure data quality, security, and performance while collaborating with analysts, engineers, and business stakeholders to deliver scalable data products; participate in code

Qualifikationen

• Hands-on with SQL and Python in data processing pipelines.
• Experience across cloud platforms AWS/Azure/GCP.
• Working knowledge of Airflow and dbt for ETL/ELT.
• Experience with Oracle DB, SAP IQ, SAP Data Services and SAP BO.
• Knowledge of Data Mesh, Medallion architecture and data products.
• Strong communication and stakeholder collaboration in banking domain.

Aufgaben

• Design, implement, and improve data ingestion, processing, and sharing within a Data Mesh platform across AWS and on-premises environments.
• Build and optimize ETL/ELT pipelines using Airflow, dbt, and SAP Data Services.
• Support modernization of legacy data systems toward cloud-native architecture.
• Ensure 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 rotation with incident resolution until 23:00–24:00.

Kenntnisse

SQL

Python

AWS

Azure

GCP

Airflow

dbt

SAP Data Services

Oracle DB

SAP IQ

SAP Business Objects

Data Mesh

Medallion architecture

CI/CD

DevOps

Infrastructure as Code

Jobbeschreibung

Описание

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

Задачи

• 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

Требования

• 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