Data Engineer
1 week ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Job Summary
We are seeking a Data Engineer to design and implement data architectures and pipelines that support global trade finance and logistics operations. This role requires deep technical knowledge of
- source data technologies such as Apache Spark, Flink, Kafka, Python, and Apache Superset, along with an understanding of data challenges in international trade, finance, and supply chain environments.
Main Responsibilities:
- Architect and implement
- time data pipelines to process trade documents, financial transactions, and shipping events. - Develop scalable data models to support analysis of trade finance, credit exposure monitoring, payment workflows, and logistics performance.
- Integrate data from various systems, including ERPs, banking platforms, remittance networks, and customs data sources using Kafka and APIs.
- Optimize distributed data processing with Apache Spark and Flink for accurate and timely insights on trade data.
- Create interactive dashboards and operational analytics using Apache Superset for stakeholders in finance, compliance, and logistics.
- Implement data governance, quality checks, and lineage tracking across the data architecture.
- Collaborate with finance, risk, operations, and IT teams to understand data needs and provide scalable solutions.
- Over 4 years of experience as a Data Engineer, ideally in finance, trade, or logistics.
- Solid practical experience with:
- Apache Spark (batch processing)
- Apache Flink (streaming)
- Apache Kafka (event streaming and data integration)
- Python (ETL scripts, data processing)
- SQL (for modeling and querying structured data)
- Experience in creating data visualizations and dashboards using Apache Superset or similar BI tools.
- Proficiency in designing relational and analytical data models for financial and operational reporting.
- Familiarity with trade finance platforms, ERPs, or logistics control systems.
- Experience with
- based data infrastructures (AWS, GCP, or Azure). - Fluency in English (international client, all communication is in English).
- Willingness to work hybrid, 2x per week at the client’s office in Porto.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
Referrals increase your chances of interviewing at emagine by 2x
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr- Informações detalhadas sobre a oferta de emprego
Empresa: emagine Localização: Porto
Porto, Porto District, PortugalPublicado: 10. 7. 2025
Vaga de emprego atual
Seja o primeiro a candidar-se à vaga de emprego oferecida!