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Senior Data Engineer

AIDA Recruitment

RemotePolandEUR 62k–67kseniorContractor
Posted
today
Source
Himalayas
Field
Engineering, Data & Analytics

Skills

CommunicationSecurityAirflowPythonDevOpsAzureCI/CDAgileSQLAWSGCPdbtETL

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 Originally posted on Himalayas

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