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Our client released a next-gen AI sales agent that brings together agentic AI and proven sales psychology. It leads customer dialogues, gives customized suggestions, manages objections, and helps users decide what to buy, narrowing the gap between e-commerce and in-store experiences.
Job Responsibility:
Contributing to our data engineering roadmap
Collaborating with senior data engineers on data architecture plans
Collaborating with cross-functional teams to develop and implement robust, scalable solutions
Supporting the elicitation and development of technical requirements
Building, maintaining and improving data pipelines and self-service tooling to provide clean, efficient results
Developing automated tests and monitoring to ensure data quality and data pipeline reliability
Implementing best practices in data governance through documentation, observability and controls
Using version control and contributing to code reviews
Supporting the adoption of tools and best practices across the team
Mentoring junior colleagues where appropriate
Requirements:
5+ years of solid commercial experience in a Data Engineering role
Excellent production-grade Python skills
Previous experience with real-time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub
Experience handling and validating real-time data
Experience with stream processing frameworks such as Faust/Flink/Kafka Streams, or similar
Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL technologies such as Elasticsearch/MongoDB/Redis or similar
Proficient with ELT pipelines and the full data lifecycle, including managing data pipelines over time
Good communication skills and the ability to collaborate effectively with engineers, product managers and other internal stakeholders
Knowledge of English - from Upper-Intermediate
Nice to have:
Understanding of JavaScript/TypeScript
Understanding of Docker
Experience with Terraform
Experience with EKS/Kubernetes
Experience developing APIs
What we offer:
Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Internal startup incubator
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days