Come and join our multicultural team!
5 locations
We are looking to fill this role immediately and are reviewing applications daily. Expect a fast, transparent process with quick feedback.
Why join us?
We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%.
Joining us means working on cutting-edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.”
We offer
Competitive annual salaryTwo unique bonuses : signing bonus at incorporation and retention bonus at contract completion.Relocation package (if applicable).Fixed-term contract ending in June 2026.Hybrid role and flexible working hours.Be part of a fast-scaling Series B company at the forefront of deep tech.Equal pay guaranteed.International exposure in a multicultural, cutting-edge environment.Responsibilities
Develop and maintain the organization's data pipeline architectureDesign and implement ETL processes to ensure that data is clean, accurate, and accessibleWork closely with Machine Learning Engineers to ensure that data is properly structured for analysis and building predictive modelsCollaborate with cross-functional teams to identify opportunities to improve data quality and accessibilityBuild and maintain data pipelines to automate data ingestion and processingAnalyse complex datasets to generate actionable insightsBuild interactive dashboards and reports (using SQL, Python, and BI tools) to monitor KPIs, improve data accessibility, and communicate trends to cross-functional stakeholders to drive strategic business decisionsConduct exploratory data analysis (EDA) and applied statistical methods to identify patterns, anomalies, and opportunities for optimization in AI and quantum-driven projectsManage and optimize database performanceStay up to date with emerging trends in data engineering and recommend new tools and technologies as appropriateRequired qualifications :
Bachelors or master's degree in computer science, software engineering, or a related field1+ year of experience or demonstrated project in data engineering or a related fieldStrong programming skills in Python or a similar languageExpertise in data modeling, ETL development, and database managementExperience with SQL and NoSQL databasesFamiliarity with big data technologies such as Hadoop, Spark, and KafkaKnowledge of cloud-based data platforms such as AWS, GCP, or AzureExcellent problem-solving skills and attention to detailStrong communication and collaboration skillsAbout Multiverse Computing
Founded in 2019, we are a well-funded, fast-growing deep-tech company with a team of 180+ employees worldwide. Recognized by CB Insights (2023 & 2025) as one of the Top 100 most promising AI companies globally , we are also the largest quantum software company in the EU.
Our flagship products address critical industry needs :
CompactifAI → a groundbreaking compression tool for foundational AI models, reducing their size by up to 95% while maintaining accuracy, enabling portability across devices from cloud to mobile and beyond.Singularity → a quantum and quantum-inspired optimization platform used by blue-chip companies in finance, energy, and manufacturing to solve complex challenges with immediate performance gains.You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients. We are committed to an inclusive, ethics-driven culture that values sustainability, diversity, and collaboration — a place where passionate people can grow and thrive. Come and join us!
As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
