Senior Data Engineer

AIDA Recruitment; Polska; Remote; PLN 181,000 - 193,000; Full time

Job summary

AIDA Recruitment seeks a Senior Data Engineer to join a cross-functional Agile team in the banking domain. You will design and improve end-to-end data solutions across AWS cloud and on-prem Oracle DB environments, using Airflow, dbt, and SAP Data Services.

Work is remote across Poland and Baltic States on a 12-month contract; English language required with a 30-32 EUR hourly rate on a B2B basis. Start ASAP.

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 real-time, message-based, and event-driven architectures.
• Exposure to CI/CD, DevOps, and infrastructure as code.
• Experience with Data Products deliveries and Data Mesh/Medallion architecture.

Responsibilities

• Design, implement, and improve data ingestion, processing, storage, and sharing within a Data Mesh platform.
• Build and optimize ETL/ELT pipelines using Airflow, dbt, and SAP Data Services.
• Support modernization and migration 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 resolve data pipeline defects.
• Participate in EOD ROT A rotation, with incident availability until 23:00-24:00.

Skills

SQL

Python

Airflow

dbt

Cloud platforms

Data Mesh

Medallion architecture

ETL/ELT

Oracle DB

SAP Data Services

SAP IQ

SAP Business Objects

CI/CD

DevOps

Tools

Airflow

dbt

SAP Data Services

Oracle DB

SAP IQ

SAP Business Objects

Job description

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.

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