Freelance Senior Data Engineer

🏢 WISE INTEGRATION · all 4 jobs
📍 Lithuania
💰 EUR 30 - 50 / hourly
📅 Posted Oct 29, 2026 · via Himalayas
✅ Verified open — last confirmed 10h ago
🏷 Data Engineer, Cloud Data Engineer, ETL Engineer, Freelance Data Engineer, Freelance Data Engineering, Freelance Data Workflow Engineer +2 more
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Project/Client: Banking

Location: Baltic States and Poland Citizen (remote)

Start Date: ASAP

Duration: 12 months

Language: English

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.

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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