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 salary
- Two unique bonuses: signing bonus at incorporation and retention bonus at contract completion.
- Relocation package (if applicable).
- Up to 9-month contract, ending on June 2026.
- Hybrid role and flexible working hours.
- Be part of a fast-scaling Series B company at the forefront of deep tech.
- International exposure in a multicultural, cutting-edge environment.
Responsibilities
- Develop and maintain the organization's data pipeline architecture
- Design and implement ETL processes to ensure that data is clean, accurate, and accessible
- Work closely with Machine Learning Engineers to ensure that data is properly structured for analysis and building predictive models
- Collaborate with cross-functional teams to identify opportunities to improve data quality and accessibility
- Build and maintain data pipelines to automate data ingestion and processing
- Analyse complex datasets to generate actionable insights
- Build 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 decisions
- Conduct exploratory data analysis (EDA) and applied statistical methods to identify patterns, anomalies, and opportunities for optimization in AI and quantum-driven projects
- Manage and optimize database performance
- Stay up to date with emerging trends in data engineering and recommend new tools and technologies as appropriate
Required qualifications:
- Bachelors or master's degree in computer science, software engineering, or a related field
- 1+ year of experience or demonstrated project in data engineering or a related field
- Strong programming skills in Python or a similar language
- Expertise in data modeling, ETL development, and database management
- Experience with SQL and NoSQL databases
- Familiarity with big data technologies such as Hadoop, Spark, and Kafka
- Knowledge of cloud-based data platforms such as AWS, GCP, or Azure
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
About 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.
