Circonomit is dedicated to revolutionizing how organizations perceive and manage their resources.
The mission is to build a strategic twin of organizations, a sophisticated control system that understands the true impact of time, money, and resources.
The company is seeking a Data Platform Engineer to join their dynamic team.
In this role, the engineer will leverage expertise in data engineering to design, build, and maintain scalable data pipelines and architectures of the modeling toolbox.
The engineer will ensure data integrity, quality, and accessibility while collaborating closely with the founders.
The ideal candidate is passionate about using data to drive strategic decision-making and thrives in a fast-paced, nerdy environment.
Requirements:
The candidate must solve complex data flow and dependency problems, enabling transparent, versioned, and auditable computations.
They should develop and maintain metadata and lineage models that support semantic graphs and numerical pipelines.
The role requires implementing scalable processing pipelines for time-, resource-, and cost-based data across distributed systems.
The engineer must ensure the integrity, quality, and accessibility of data across various systems and platforms.
Close collaboration with the customer and the founders is necessary to identify high-ranking product opportunities for leveraging data in decision-making processes.
Staying current with industry trends in data engineering and language models is essential.
A minimum of 3+ years of experience building distributed data systems (e.g., Spark, Flink, Dask, or Ray) is required.
A Bachelor’s degree in Computer Science, Engineering, or a related field is necessary; a Master’s degree is preferred.
Proven experience as a Data Engineer or in a similar role, with a strong portfolio of data architecture projects, is required.
Proficiency in programming languages such as Python is essential.
Expertise in SQL and experience with various database technologies (e.g., PostgreSQL, MongoDB, etc., Graph based) is necessary.
A strong understanding of data warehousing concepts and experience with data storage solutions is required.
Experience with cloud platforms (AWS, GCP, Azure) and related data services is necessary.
Excellent analytical skills and a proactive problem-solving mindset, with the ability to own topics, are essential.
The candidate must speak English at level C1 or higher, and having basic German skills is appreciated.
The candidate should see it as an option to relocate to Cologne, Germany in the future.
Benefits:
The organization values speed of development without compromising on core product quality.
The company is focused on building scalable and maintainable software.
They seek engineers, not just programmers, who can push the edge of technology between language models and math.
The work environment is dynamic and encourages translating complex data into simple, coherent computation flows.
