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Senior Data Engineer

Aida Projektai MB · Warsaw, Poland

Mixed hiring record · median 52 days open

100100

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Actively hiring

Still listed on the employer's own board · How we score

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  • 38% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Senior Data Engineer at Aida Projektai MB. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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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