Senior Data Engineer - Remote job Software Development at ID5

Role Overview:

We are looking for a versatile Data Engineer with a strong relation to Java backend engineering to join our Graph Delivery team and help build, extend, and maintain customer-facing graph solutions. You will work on large-scale batch processing pipelines while also contributing to APIs and sometimes UIs, ensuring our products remain reliable, efficient, and impactful. The role requires strong problem ownership, and clear communication across teams like other Engineering teams, Product, and Solution Consulting. You’ll deliver immediate value through fixes and features, while long term driving the evolution of our graph products with new capabilities, improved performance, and architectural coherence.

Key Responsibilities:

• Join a team to design, build, and maintain batch-oriented high scale data products, along with the APIs and minimalistic UIs that support them.
• Collaborate with Product, Solution Consulting, and Sales Engineering to deliver solutions for our most strategic customers—whether next-generation innovations or custom-tailored adaptations.
• Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs
• Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader architecture.

Required Qualifications:

• 5+ years of experience in backend and/or data engineering roles, with a strong focus on building and maintaining data pipelines.
• Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot
• Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow.
• Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes.
• Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks)
• Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent).
• Exposure to analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch
• Willingness to work across the stack by contributing to API development and, at times, UI components (Vue.js, Zoho, or similar).
• Excellent communication and collaboration skills, with the ability to work independently and adapt quickly to complex codebases.
• Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent experience.