Overview
Join to apply for the Streaming Data Engineer - Banking Industry role at NTT DATA Europe & Latam. Onsite in Geneva for one of our projects in the Banking Industry.
Our client is one of the world’s largest financial institutions, with a global presence serving more than 140 million customers in North America, Europe, and South America. The company operates a network of 14,400 branches and manages funds of more than 1 trillion euros across all customer segments.
Role focus: design, implement, and maintain real-time data processing systems to handle high-volume, high-velocity data streams, enabling data-driven decision-making with low latency. The Streaming Data Engineer will collaborate with data engineers, data scientists, and business stakeholders to build scalable, high-performance data pipelines and systems that deliver real-time insights to drive operational efficiency and customer experience.
Responsibilities
* Real-time Data Pipeline Development: design, implement, and manage scalable real-time data pipelines to process streaming data from various sources, including transactional systems, APIs, and external data providers.
* Data Processing Frameworks: leverage stream processing technologies (e.g., Apache Kafka, Apache Flink, Apache Pulsar) to build reliable and performant data workflows.
* System Integration: collaborate with backend and frontend teams to ensure seamless integration between real-time data systems and business applications, dashboards, and reporting tools.
* Data Quality & Monitoring: implement monitoring solutions to ensure the health and performance of streaming data pipelines, addressing issues proactively and ensuring data quality and integrity.
* Optimization & Performance: optimize streaming data platforms for low-latency processing, high throughput, and efficient resource usage.
* Scalability: design systems that can scale horizontally to handle growing data volumes, ensuring high availability and fault tolerance.
* Collaboration with Data Scientists & Analysts: work closely with data scientists, business analysts, and other stakeholders to deliver real-time analytics capabilities, ensuring insights are actionable and aligned with business needs.
* Compliance & Security: ensure that all data processing complies with industry regulations (e.g., GDPR, PSD2) and internal security standards to safeguard sensitive financial data.
* Automation: automate repetitive tasks such as deployment, monitoring, and scaling to streamline operations and reduce manual overhead.
Required Skills & Qualifications
* Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
* Proven experience (8+ years) in developing and maintaining real-time streaming data platforms.
* Expertise in stream processing frameworks and technologies, including Apache Kafka, Apache Flink, or Apache Pulsar.
* Strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and tools such as AWS Kinesis, Google Cloud Pub/Sub, or Azure Stream Analytics.
* Proficiency in programming languages such as Java, Scala, Python, or Go.
* Experience with distributed systems and message-oriented middleware.
* Solid understanding of data integration techniques, including data transformation, filtering, and enrichment in real-time.
* Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
* Experience in working with large-scale, high-throughput data environments.
* Knowledge of data security and privacy concerns, particularly in the context of financial data.
* Excellent troubleshooting and problem-solving skills in a complex and high-performance environment.
* Strong communication skills, with the ability to clearly convey technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications
* Experience with machine learning or AI-based stream analytics.
* Familiarity with data governance and real-time data quality practices.
* Experience with DevOps or CI/CD pipelines in data engineering environments.
* Certifications in cloud platforms or big data technologies (e.g., AWS Certified Big Data - Specialty, Google Cloud Professional Data Engineer).
NTT DATA is a multinational consultancy company, employing over 200,000 professionals worldwide. Within International Institutions we have framework contracts with European Institutions such as the European Commission, European Parliament, European Court of Auditors, Europol, NATO, Court of Justice, EPO, European Council, the United Nations, etc.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering, Information Technology, and Other
* Industries
* Embedded Software Products, Information Services, and Software Development
Referrals increase your chances of interviewing at NTT DATA Europe & Latam by 2x.
Get notified about new Data Engineer jobs in Geneva, Geneva, Switzerland.
#J-18808-Ljbffr