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Senior Software Engineer, Identity Platform
Senior Software Engineer building and scaling identity verification systems using cloud-native microservices, event-driven architectures, and phone intelligence data signals for fraud detection across banking, healthcare, and other industries.
Software Engineer
Builds real-time fraud and AML detection systems for banks using streaming pipelines, graph analysis, and AI agents to process millions of daily transactions.
Site Reliability Engineer
Maintain and scale cloud infrastructure for a RegTech platform, ensuring high availability and performance using Kubernetes, AWS, and monitoring tools.
Software Engineer - AiDP Reliability Engineering, IS&T, Early Career Opportunities
Build and maintain scalable ML, GenAI, and big-data platforms in hybrid cloud, ensuring high performance and reliability for Apple’s enterprise systems.
Engineering Manager, Data & Analytics
Engineering Manager- Data & Analytics Team: Technology, Information and Media Location: Bengaluru Commitment: Full-time Workplace Type: onsite Salary: We are looking for a sharp, hands-on Engineering Manager to…
Lead Data Platform Engineer
Lead the design, development, and deployment of secure, high-performance backend services for enterprise clients using Java, Spring Boot, Kafka, and cloud technologies.
Engineering Manager, Content Data Products
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that…
Senior Data Platform Engineer
You build product-grade Flink streaming ingestion pipelines using streamhouse technologies such as Paimon, Iceberg, Fluss, and StarRocks. You own end-to-end data platform projects, maintain reliable warehouse…
Senior Backend Engineer – Real-Time Personalisation
Build low-latency Java microservices and streaming pipelines (Kafka, Flink) to power real-time personalization for Tesco’s web, mobile, and in-store experiences.
Senior Data Engineer - Data Platform
The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the…
Specialist - Data Platform Engineering
Build and maintain scalable data pipelines and streaming infrastructure using Spark, Flink, Kafka, and Databricks for reliable, high-performance data processing at scale.
Kafka Architect / Streaming Data Architect
Design and implement enterprise-scale Kafka streaming architectures for a bank’s data lakehouse, integrating Cloudera, CDC pipelines, and real-time processing to ensure high throughput, fault tolerance, and regulatory compliance.
Data Engineer
Designs and maintains scalable data pipelines for batch and real-time processing, using Python, PostgreSQL, Apache NiFi, and Kafka to ensure data quality and availability for analytics.
Senior Data Engineer - Streaming
Design and implement a real-time streaming data architecture using Kafka, Spark Streaming, and Microsoft Fabric to replace batch processing with event-driven pipelines.
Senior Data Engineer — Lakehouse & Real-Time Platform
Build and maintain a modern data lakehouse platform, creating batch and real-time pipelines with Kafka, Flink, AWS, Snowflake, and Databricks to power analytics and ML.
Senior Data Engineer - Product
Build and maintain scalable data pipelines and Lakehouse assets on AWS, Snowflake, and Databricks to power real-time and batch analytics for Domain’s property platforms.
Sales traineeship
Sales Traineeship bij Learned in Utrecht 🚀 Organisaties helpen hun medewerkers te laten groeien. Daar gaan wij bij Learned elke dag voor. Weg met de traditionele HR beoordelingen en onderbuikgevoel, hallo samenwerken…
Data Engineer
Designs and scales data platforms (DWH, Data Lake) and builds ETL/ELT pipelines in Python and SQL, with streaming via Apache Flink.
AI Data Scientist - Autonomous Network
Build AI models for telecom networks: analyse telemetry, alarms, and topology to predict faults, optimize performance, and enable self-healing operations using Python, ML, and graph analytics.