Senior Data Engineer

🕒 August 18

🌐 Lithuania, Estonia, +2 more countries – Remote

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⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 31%

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Logo of Bonapolia

Bonapolia

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.

📋 Description

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing within a Data Mesh platform across cloud and legacy DWH environments • Build and optimize AWS cloud and on-premises Oracle DB data architectures for performance, scalability, and reliability • Develop and maintain ETL/ELT pipelines using modern tools and frameworks for regulatory, operational, and analytical banking needs • Support and modernize legacy data systems and migration toward cloud platform architecture • Uphold data quality, security, availability, and performance • Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions • Perform code reviews, troubleshoot software, and resolve defects • Implement monitoring and alerting for data workflows • Participate in the EOD process, including a one-week ROTA rotation with availability until 23:00–24:00 for incident troubleshooting and resolution • Work as part of a cross-functional Agile team in a Pan-Baltic international environment

🎯 Requirements

• Proven experience with SQL and Python • Hands-on experience with cloud platforms such as AWS, Azure, or GCP • Good understanding of data pipeline tools such as Airflow or dbt • Working knowledge of Oracle DB, SAP IQ, SAP Data Services, and SAP Business Objects • Knowledge of real-time, message-based, and event-driven solution integrations • Experience 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 • Fluent English, spoken and written • Proactive, detail-oriented, and capable of taking full ownership of solution delivery • Ability to thrive in a fast-changing environment with evolving technologies and priorities • EU citizenship or valid work permit • Nice to have: banking/customer business domain experience • Nice to have: Kubernetes and Docker • Nice to have: Kafka, Spark, and Flink • Nice to have: Power BI • Nice to have: SQL and NoSQL databases • Nice to have: Java development experience

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