Software Engineer, Qbeast
Simplifying the work of engineers managing data lakes
Job no longer available
Simplifying the work of engineers managing data lakes
1-20 employees
Job no longer available
1-20 employees
Company mission
To accelerate the transition to a Big Data-driven economy and society.
Role
Who you are
- Experience: A minimum of three years in professional software development
- Education: A Bachelor’s degree in Computer Science or a related field
- Strong knowledge of algorithms and data structures
- Familiarity with database internals
- Experience with Data Lakehouse formats (e.g., Delta Lake, Apache Hudi, Apache Iceberg) is a plus
- Knowledge of storage I/O is a bonus
- Proficiency in Java, Scala, and Rust, with the adaptability to work in other languages as needed
- Experience with query engines like Apache Spark, Trino, or emerging ones like DataFusion
- Proficiency in English (our working language)
- Organized, autonomous, and proactive approach to work
- Willingness to learn new skills and share knowledge
- A collaborative mindset and strong team spirit
What the job involves
- We are looking for a talented engineer to join our team and contribute to the development of our core acceleration technology
- This role involves enhancing our core multi-dimensional indexing implementation for Data Lakehouses. You’ll collaborate closely with the team to introduce groundbreaking features that are unique in the market
- Develop and enhance our indexing technology using Java, Scala, and Rust
- Build support for open table formats such as Iceberg
- Maintain and improve product quality by resolving defects and creating robust test cases and frameworks
- Explore other areas of interest—in a startup, there’s always more to do and learn
- Revolutionary data analytics technology supporting various processing frameworks
- Cloud-based infrastructure spanning multiple providers
- Kubernetes for orchestration, Terraform for infrastructure management, and GitHub for version control
- A SaaS platform powered by Typescript, Rust, Java, Scala, and Python
Our take
In an increasingly data-driven world, effective management of data is important for businesses across all industries. The vast amount of data available provides valuable insights into a company's performance, empowers informed decision-making, and enables accurate predictions.
QBeast, a spin-off from the Barcelona Supercomputing Center (Centro Nacional De Supercomputación), wants to make data lake management easier and help teams enhance their predictive capabilities and optimise operations. QBeast's technology enables businesses to handle massive amounts of data, unlocking valuable insights and driving efficient decision-making processes.
So far, QBeast has garnered interest from a wide range of sectors, highlighting its broad applicability and the potential impact of its offerings. With funding secured in 2023, the company is poised to accelerate its go-to-market strategy by filling crucial commercial roles and doubling down on product development, technology, and partnerships. This injection of resources is propelling the company forward, enabling it to seize new opportunities and grow its reputation within its industry.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Aug 2025
$7.6m
SEED
Feb 2023
$2.9m
SEED
Total funding: $11.1m
Company HQ
El Parc i la Llacuna del Poblenou, Barcelona, Spain
Leadership
Cesare Cugnasco
(Co-Founder & CEO)Graduated from the Technical University of Catalonia with a PhD in Computer Architecture. Previously worked as an IT Consultant at Next Fashion School and as a Researcher at the Barcelona Supercomputing Center.
Pol Santamaria
(Co-Founder & CTO)Graduated from the Technical University of Catalonia with a Bachelor's Degree in Computer Science. Previously worked at the Barcelona Supercomputing Center as a Developer.
Nicolas Escartin
(COO)Previously Managed Incubator and Tech Startup Accelerator Barcelona Activa. Also worked as a Corporate Development and Investment Analyst at Moventia and as a Professor at the EU Business School.
Paola Pardo
(Co-Founder)Previously worked at the Barcelona Supercomputing Center as a Junior Research Data Engineer.
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