Senior Data Engineer

About

At Circonomit, we follow the mission to build the strategic twin of organizations. By transforming operational data into clear impact models, we revolutionize how resources are managed.

Responsibilities

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data
• Develop ontologies to translate abstract domain logic into clear, queryable graph models and vice versa
• Implement robust, scalable processing pipelines for time-, resource-, and cost-based data leveraging distributed systems (e.g., using dbt, dlt, etc.)
• Drive the integration of LLM-driven workflows to automate the transformation of unstructured data into structured knowledge
• Define standards for data integrity, quality, and versioning across various systems and platforms
• Bring extensive practical experience with ELT/ETL processes, data integration platforms, and related tools such as Apache Spark, Apache Flink, Python/Scala
• Drive technical decisions by staying ahead of industry trends in data engineering and language models
• Partner closely with our CTO and product team to identify the highest‑ranking product opportunities for leveraging data in decision‑making processes

Requirements

• 5+ years of experience building production‑grade integrations‑heavy data products (e.g., Spark, Flink, Dask, or Ray), preferably in a startup or fast‑paced environment
• GitHub or portfolio showcasing your data architecture capabilities, demonstrating work on end‑to‑end pipelines, semantic models, or complex dependency flows
• Proficiency in programming languages (e.g. Python) for production‑grade data systems and expertise in SQL and database modeling (e.g. PostgreSQL)
• A proactive, analytical, and independent working style with a strong sense of ownership and a strong bias for action
• Hands‑on experience with cloud infrastructure (AWS, Cloudflare, or similar) and Infrastructure‑as‑Code tools
• Familiarity with graph databases, ontologies, semantic modeling, and translating abstract domains into structured data models
• Experience with modern data warehousing and data lake concepts, and exposure to LLM‑driven data workflows
• English and German proficiency at C1 level or higher
• Already living in or willing to relocate to Cologne, Germany

Benefits

• Join as part of the core team to shape the technical foundation and story of our company
• Empowered with ownership and decision‑making authority to build, test, and lead starting day one
• Competitive salary and a significant equity package
• Fully covered Urban Sports Club membership
• Space to learn and progress quickly, encouraged by the contagious curiosity and ambition of our team