Job Description

At Circonomit, we’re dedicated to revolutionizing how organizations perceive and manage their resources. Our mission is to build the strategic twin of organizations—a sophisticated control system that comprehensively understands the true impact of time, money, and resources. We are committed to eliminating adverse outcomes resulting from hidden interdependencies, enabling organizations to operate more efficiently and sustainably. We are seeking a Data Platform Engineer to join our dynamic team. In this role, you will leverage your expertise in data engineering to design, build, and maintain scalable data pipelines and architectures of the modelling toolbox. As a contributor, you will ensure data integrity, quality, and accessibility while collaborating closely with the founders. If you are passionate about using data to drive strategic decision-making and thrive in a fast-paced, nerdy environment, we would love to hear from you!

Responsibilities

Solve complex data flow and dependency problems, enabling transparent, versioned, and auditable computations. Develop and maintain metadata and lineage models that support semantic graphs and numerical pipelines. Implement scalable processing pipelines for time-, resource-, and cost-based data across distributed systems. Ensure the integrity, quality, and accessibility of data across various systems and platforms. Work closely with the customer and the founders to identify the highest-ranking product opportunities for leveraging data in decision-making processes. Stay current with industry trends in data engineering and language models.

Requirements

3+ years of experience building distributed data systems (e.g., Spark, Flink, Dask, or Ray). Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. Proven experience as a Data Engineer or in a similar role, with a strong portfolio of data architecture projects. Proficiency in programming languages such as Python Expertise in SQL and experience with various database technologies (e.g., PostgreSQL, MongoDB, etc., Graph based) Strong understanding of data warehousing concepts and experience with data storage solutions Experience with cloud platforms (AWS, GCP, Azure) and related data services Excellent analytical skills and a proactive problem-solving mindset, with the ability to own topics You must speak English at level C1 or higher, having basic German skills is appreciated You see it as an option to relocate to Cologne, Germany in the future

Benefits

We are an early-stage organisation that values speed of development without cutting corners on core product quality. We are in the game to build scalable and maintainable software and seek engineers, not just programmers, who push the edge of tech between language models and math and can translate complex data into simple, coherent computation flows. Can't wait to chat!

“Hustle the day, analyze at night, reinforce something outstanding” Period.

Erik & Dana