Data Engineer, Multiverse Computing

9 Month Contract

€45-51.8k

Offers bonus incentives

SQL

AWS

GCP

Python

Kafka

Hadoop

Azure

Spark

Junior and Mid level

Barcelona

More information about location

3+ days a week in office

Quantum software for complex challenges

Be an early applicant

Quantum software for complex challenges

101-200 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Be an early applicant

€45-51.8k

Offers bonus incentives

SQL

AWS

GCP

Python

Kafka

Hadoop

Azure

Spark

Junior and Mid level

Barcelona

More information about location

3+ days a week in office

101-200 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaS

Company mission

To bring quantum computing to society and use cases with great impact on society and on the technological wealth of the national and international territory.

Job

Company

Role

Who you are

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

What the job involves

Up to 9-month contract, ending on June 2026
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
Manage and optimize database performance
Stay up to date with emerging trends in data engineering and recommend new tools and technologies as appropriate
You’ll be working alongside world-leading experts in quantum computing and AI, developing solutions that deliver real-world impact for global clients

Our take

Multiverse Computing is a company working on quantum and quantum-inspired computing solutions, addressing the limitations of traditional computing across finance, energy, manufacturing, and healthcare.

With its flagship products Singularity and CompactifAI, the company democratises quantum computing access, enabling professionals to leverage advanced algorithms for AI-driven optimisation and data compression without prior quantum expertise.

The company's had a successful 2025 too, first being named on the 2025 CB Insights' List of the 100 Most Innovative AI startups and then announcing a whopping $215M funding round. With this additional capital, the company is focused on strengthening CompactifAI, and further accelerating its name on a global scale.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 10 rounds)

Jun 2025

$223.8m

SERIES B

Mar 2025

$77m

GRANT

Total funding: $360.9m

Company HQ

Miramón-Zorroaga, Donostia-San Sebastian, Spain

Leadership

Enrique Lizaso Olmos

(Founder & CEO)

Founder of BlockTac and President of the 'Quantum for Quants' Commission at the Quantum World Association. Previously taught Statistical Methods for Engineering at the University of Vic - Central University of Catalonia.

Samuel Mugel

(CTO)

Mentor at the Creative Destruction Lab, and Scientific Advisor for the McKinsey Technology Council and Quantum World Association. Previously a Computational Physicist at Cortirio and a Technical Director at Quantum Ventures.

Alfonso Rubio-Manzanares

(CMO)

Partner and CEO at Entanglement Partners, as well as the General Manager at The Carrot Cake. They are also on multiple Advisory Boards, including greenYng, Ubiquat Technologies, and Ontek. Previously co-founded Ontek, Hubtype, and Cabier Institute.

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