We are seeking a Senior Data Platform Engineer to join our Data Engineering function, where you will design and build high-performance, production-grade microservices and cloud-native data processing pipelines using Apache Spark, AWS Glue, and broader AWS tools. Requirements 6+ years in software engineering, ideally with a focus on distributed systems or large-scale data platforms Proficiency in Scala or a similar strongly typed, object-oriented or functional language Expertise in Apache Spark and performance tuning for large-scale data jobs Experience with AWS services such as Glue, Lambda, S3, DynamoDB, Step Functions, EventBridge, API Gateway, ECS, and EC2 Strong grasp of microservices, reactive and event-driven architecture, batch vs streaming patterns, and scalable system design Hands-on experience with Kafka (Confluent) and/or RabbitMQ Familiarity with Apache Iceberg or similar formats like Delta Lake or Hudi CI/CD, testing, clean code, and maintainable service design Strong communication skills with a collaborative and ownership-driven mindset Benefits Competitive salary Opportunity to work with a leading provider of European B2B data and sales intelligence Inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day Flexible work arrangements Professional development and growth opportunities Originally posted on Himalayas