Senior Data Engineer

AIDA projektai, MB; Warszawa; Remote; PLN 347,415,000 - 370,576,000; Full time

Job summary

AIDA projektai, MB is seeking an experienced Senior Data Engineer to join a cross-functional Agile team in the banking domain. You will design end-to-end data solutions across AWS cloud and on-prem Oracle DB, building ETL/ELT pipelines with Airflow, dbt, and SAP Data Services.

Responsibilities include data ingestion, migration of legacy systems, and ensuring data quality, security, and performance across workflows, with EOD ROTA incident coverage. English required for the role.

Qualifications

• Proven hands-on SQL and Python experience.
• Cloud platforms AWS/Azure/GCP experience.
• Experience with Airflow or dbt.
• Knowledge of Oracle DB, SAP IQ, SAP Data Services and SAP BO.
• Understanding of real-time, event-driven architectures and integrations.
• DevOps practices, IaC, CI/CD and SDLC exposure.
• Experience with Data Mesh, Medallion architecture and data product deliveries.
• Strong communication and collaboration skills.

Responsibilities

• Design and improve data ingestion, processing, storage, and sharing in a Data Mesh platform.
• Build and optimize ETL/ELT pipelines using Airflow, dbt, and SAP Data Services.
• Migrate legacy data systems toward cloud-native architectures.
• Ensure data quality, security, and performance across workflows.
• Collaborate with analysts, engineers, and stakeholders to deliver scalable data solutions.
• Perform code reviews, implement monitoring, and fix defects.
• Participate in EOD ROTA with incident resolution until late hours.

Skills

SQL

Python

Airflow

dbt

Cloud platforms

Oracle DB

Event-driven

Data Mesh

Medallion architecture

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