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Senior Data Engineer

Role overview

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 enterprise data platforms: Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects

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

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

AIDA Recruitment logo

AIDA Recruitment

Staffing & Recruiting

AIDA Recruitment - technology and artificial intelligence-based employee search for your company! Using modern digital technologies, we select targeted candidates and provide you with a top list.

Company details

IndustryStaffing & Recruiting
Company size2 - 10

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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:
35 - 40 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

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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