Senior Data Engineer

Job not on LinkedIn

🕒 October 1

🌐 Lithuania, Estonia, +2 more countries – Remote

🇱🇹 Lithuania – Remote 🇪🇪 Estonia – Remote 🇱🇻 Latvia – Remote 🇵🇱 Poland – Remote

💵 €30 - €50 / hour

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 2%

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WISE INTEGRATION

WebsiteAll Job Openings

- employees

💼 Consulting

🏢 Enterprise

Consulting • Enterprise

WISE INTEGRATION is a technology consulting and services provider specializing in enterprise software development, test automation, and digital experience. The company delivers engineering services such as Playwright/Selenium test automation, CI/CD integration, cloud application monitoring, and mentoring around quality practices, alongside UX and accessibility leadership for HR and employee platforms. Their work focuses on building and maintaining enterprise-grade applications using JavaScript/TypeScript, Node. js, React, GraphQL, and established architecture and testing practices for global clients.

📋 Description

• 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 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

🎯 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 real-time, message-based, and event-driven solution integrations, 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 • English language requirement • Baltic States or Poland citizenship requirement

🏖️ Benefits

• Remote work arrangement • 12-month project duration

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