Remote Data Platform Engineer

Description:

• 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.