Data Platform Engineer / Analyst

Our requirements

• Minimum 3 years of hands-on experience in production environments with strong knowledge of Kafka brokers, topics, partitioning, schemas and replication.
• Proficiency with Kafka Streams and kSQL.
• Experience configuring and developing Kafka Connect connectors (off‑the‑shelf and custom).
• Strong proficiency in Java and the Spring ecosystem (Spring Boot, Cloud, Security, Data).
• Proficiency in Java and Python for integrations and tooling.
• Experience designing document-oriented schemas, indexing strategies and query optimisation in MongoDB.
• Experience implementing GraphQL services (Spring GraphQL or similar), including schema design and resolver development.
• Familiarity with Apache Iceberg table formats and metadata management.
• Experience with Prometheus, Grafana and OpenTelemetry for monitoring and observability.
• Good knowledge of TLS, SASL, ACLs and encryption of data at rest and in transit.
• Experience working in Scrum/Kanban teams and using Jira and Confluence.

Your responsibilities

• Collaborate with business analysts and IT teams to understand business processes and data flows.
• Create and maintain functional documentation such as use cases and user stories, and technical documentation including data diagrams and field mappings.
• Design Kafka topics with appropriate naming conventions, partition strategies and Avro schemas.
• Define data structures for MongoDB collections, GraphQL models and Iceberg tables.
• Develop Spring Boot microservices for producers, consumers and stream processing.
• Implement the GraphQL layer (schemas and resolvers) to expose data stored in MongoDB.
• Configure and extend Kafka Connect connectors, including building custom connectors where needed.
• Develop custom Single Message Transforms (SMTs) and converters to adapt data formats between systems.
• Implement monitoring, logging and observability for event-driven data flows (Prometheus, Grafana, Vector/ELK, OpenTelemetry, Dynatrace).
• Diagnose and resolve issues related to replication, latency and data inconsistencies.
• Optimize Kafka, MongoDB and Iceberg configurations for performance and cost efficiency.
• Work in an Agile environment (Scrum or Kanban) alongside Data Engineers, DevOps, Analysts and QA Engineers.
• Share knowledge through workshops, documentation and code reviews.

About the project

This is how we organize our work

This is how we work on a project

• documentation
• issue tracking tools

What we offer

• Remote working.
• Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
• Agile approach and no bureaucracy.
• Outstanding integration trips to various places in Europe.
• Activities to support your well-being and health.
• Luxmed Gold Extended medical care and Multisport Plus benefit.

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities
• integration events

Recruitment stages

• 1.
  Screening Call
• 2.
  Cultural Fit Interview
• 3.
  Technical Interview
• 4.
  Final Round Interview

YOUR ITEAMS sp. z o.o.