Senior Data Engineer for BA's Client (B2B contract)

Baltic Amadeus is a technology partner helping organisations build and scale their IT solutions. With a team of 300+ IT professionals, we turn complexity into systems that actually work.

Our expertise spans the full IT lifecycle, from IT consulting and custom software development to mobile app development, mobile banking, cyber security, including penetration testing, and web portal development. We create internal systems and customer-facing platforms, including mobile applications, self-service, eCommerce, and banking solutions.

Our team has proven experience in industries where reliability and compliance are critical, such as banking and finance, public sector, telecommunications, logistics, and insurance.

With 37+ years in the industry, we partner with clients across the globe, including Fortune 500 and Forbes Global 2000 companies, helping them achieve measurable business results.

Project/Client: Banking

Location: Baltic States

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

Hourly rate: up to 42 EUR (Gross). If you have different expectations, please let us know - we are open to discussing compensation based on your skills and experience.