Senior Data Platform Engineer, Cognism

• Experienced Engineer – 6+ years in software engineering, ideally with a focus on distributed systems or large-scale data platforms
• Scala Expertise – Proficiency in Scala or a similar strongly typed, object-oriented or functional language
• Advanced Data Skills – Expertise in Apache Spark and performance tuning for large-scale data jobs
• Cloud-Native Mindset – Experience with AWS services such as Glue, Lambda, S3, DynamoDB, Step Functions, EventBridge, API Gateway, ECS, and EC2
• Systems Thinking – Strong grasp of microservices, reactive and event-driven architecture, batch vs streaming patterns, and scalable system design
• Message Broker Mastery – Hands-on experience with Kafka (Confluent) and/or RabbitMQ
• Modern Data Lakes – Familiarity with Apache Iceberg or similar formats like Delta Lake or Hudi
• Software Engineering Craftsmanship – CI/CD, testing, clean code, and maintainable service design
• Excellent Communicator – Strong communication skills with a collaborative and ownership-driven mindset

Desirable

• As a Senior Data Platform Engineer, you’ll bring your strong software engineering background and deep expertise in scalable, distributed data systems to design and build high-performance, production-grade microservices and cloud-native data processing pipelines
• This role sits at the heart of our Data Engineering function, helping us evolve a modern, event-driven ecosystem that powers Cognism’s core data products
• Design & Build at Scale – Develop and maintain scalable batch and streaming data pipelines using Apache Spark, AWS Glue, and broader AWS tools
• Develop Robust Microservices – Build high-quality services in Scala (Play Framework and Pekko), integrated into a distributed data processing platform
• Own Production Systems – Deploy services using ECS or EC2, ensuring systems are reliable, scalable, and performant
• Drive Technical Excellence – Identify and resolve bottlenecks in existing systems, applying strong engineering practices and performance tuning
• Be a Technical Leader – Mentor teammates, drive architectural decisions, and elevate the overall engineering bar
• Collaborate Cross-Functionally – Work closely with data, engineering, and platform teams to design cloud-native and event-driven solutions
• Champion Best Practices – Improve our CI/CD pipelines, testing coverage, and developer experience
• Own End-to-End Delivery – Take responsibility for services and systems from design through to production operations