Senior Data Engineer

AIDA Recruitment; United States; Remote; USD 46,000 - 49,000; Full time

Job summary

AIDA Recruitment seeks a Senior Data Engineer to join a cross‑functional Agile banking team. You will design and enhance end‑to‑end data solutions across AWS cloud and on‑prem Oracle DB, leveraging Airflow, dbt, and SAP Data Services.

You will advance Data Mesh and Medallion architectures, ensure data quality, security, and performance, and collaborate with analysts, engineers, and business stakeholders to deliver scalable data products. Remote‑friendly, contract role.

Qualifications

• 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 solution integrations - real-time, message-based, and event-driven architectures.
• Exposure to DevOps practices, including IaC, CI/CD, and SDLC.
• Experience with Data Products deliveries, Medallion architecture, and Data Mesh.

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

Skills

SQL

Python

AWS

Azure

GCP

Airflow

dbt

SAP Data Services

Oracle DB

SAP IQ

SAP Business Objects

Data Mesh

Medallion architecture

CI/CD

Infrastructure as Code

Security best practices

Tools

Airflow

dbt

SAP Data Services

Job description

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.

Project/Client: BankingLocation: Baltic States and Poland Citizen (remote)Start Date: ASAPDuration: 12 monthsLanguage: EnglishHourly rate: 30 - 32 EUR. B2B contract.

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