Data / Cloud Native Engineer - Palantir Foundry Experience (M/F/D)
Mobilab Solutions GmbH5 months ago
Cologne, GermanySenior
Responsibilities
- Design and develop cloud-native applications and data platforms in cross-functional teams.
- Build and evolve an Azure-based semantic knowledge layer involving ontology modeling, data binding, knowledge graph interaction, AI-agent querying, and service integrations.
- Deliver user-facing applications or data products and insights depending on specialization.
- Apply Palantir Foundry expertise to ontology modeling, pipeline development, application building, and customer projects.
- Deploy, operate, and automate applications in cloud-native environments using Azure Container Apps and Kubernetes.
- Test, validate, and iterate on features using customer feedback and product metrics.
- Translate user and business needs into feasible engineering tasks with Product Owners and cross-functional teams.
- Make robust technical decisions and own products and platforms through production.
- Contribute through code reviews, pair programming, knowledge exchange, and engineering-practice improvements.
Requirements
- Hands-on Palantir Foundry experience in ontology modeling, pipeline development, or Foundry application configuration.
- At least 5 years of experience as a Cloud Native Software Engineer or Data Engineer.
- A solid academic background in Computer Science, Data Science, Data Engineering, Mathematics, Physics, or a related field.
- Understanding of the full software development lifecycle, CI/CD, containerization, infrastructure as code, and cloud platforms.
- Fluent spoken and written English; German is a plus.
- Ability to use AI coding tools such as Claude Code or Cursor with independent judgment about quality and correctness.
- For cloud-native engineering: strong backend experience with TypeScript, or Java/Kotlin and Spring Boot; experience shipping applications, designing APIs, and taking applications to production in cloud environments.
- For data engineering: experience with Python or Scala and SQL; semantic modeling of complex data landscapes; and reliable, scalable data pipelines using technologies such as Spark or Flink.
- Experience with GraphQL, React, knowledge graphs, RDF, OWL, SPARQL, property graphs, AI agents, LLM-based features, Azure OpenAI, Azure Databricks, Synapse, Snowflake, BigQuery, Kafka, Kinesis, or Dataflow is a plus.
Benefits
- Hybrid work with flexibility between office and home.
- Remote work from anywhere in the EU for up to 6 weeks per year.
- JobTicket for public transportation in Cologne.
- Certifications covered and an annual €2,000 conference budget.
- Childcare support and a company pension plan.
- Choice of MacOS or Windows work setup.
- Access to AI tools including ChatGPT, Claude, Microsoft Copilot, and Cursor.
Tech Stack
Apache FlinkApache KafkaApache SparkAzureDatabricksGoogle BigQueryGraphQLJavaKotlinKubernetesmacOSPythonReactScalaSnowflakeSpring BootSQLTypeScriptWindows
Categories
BackendData Engineering