Beyond is a technology consultancy that helps organizations thrive in a rapidly changing world by building, modernizing, scaling, and operationalizing technology.
The company focuses on creating Cloud and AI solutions to unlock productivity and drive customer growth.
They are looking for a Technical Leader to shape the next generation of their data and machine learning capabilities, with an emphasis on data quality, enrichment, and intelligent linking of products and information.
The Principal Engineer will have the opportunity to define architectural strategy, lead transformative initiatives, and work at scale on platforms infused with machine learning and semantic intelligence to unlock deep insights from complex data.
Responsibilities include leading the architecture and evolution of scalable, high-performance data pipelines and ML systems, driving cross-functional initiatives to integrate modern Machine Learning and AI technologies, defining strategies to enhance performance, reliability, and observability of data and ML services, designing frameworks for evaluating data quality and ML model effectiveness, mentoring engineers, and shaping long-term technical direction.
Requirements:
A degree in Computer Science, Engineering, Machine Learning, or a related technical field is required.
Candidates must have 8+ years of experience designing and leading the development of large-scale distributed data and/or ML backend systems.
Hands-on experience with ETL pipeline design and optimization for complex data sets is a strong advantage.
Deep familiarity with technologies such as Apache Beam, Pub/Sub, Redis, and other large-scale data processing frameworks is necessary.
Expertise in backend development with Python and Scala is required; knowledge of Node.js or Golang is a plus.
Proficiency with both SQL and NoSQL databases, along with experience in data warehousing solutions, is essential.
Demonstrated experience in building robust APIs (REST, GraphQL) and operating in modern cloud environments (GCP preferred) using Kubernetes, Docker, CI/CD, and observability tools is required.
Proven ability to lead and influence engineering direction across teams and functions in a data-centric and ML-driven environment is necessary.
Strong communication skills and the ability to align diverse technical stakeholders around a cohesive vision for data quality and knowledge extraction are essential.
Benefits:
Beyond promotes a culture of inclusivity and openness for all employees, actively encouraging diversity in all its forms.
The company has been recognized among the Sunday Times Best 100 Companies, highlighting its commitment to a positive workplace culture.
Beyond is dedicated to welcoming everyone, regardless of gender identity, orientation, or expression, and aims to remove exclusivity and barriers.
The organization values the creativity and innovation of its employees, believing that their people are essential to its success.
