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Senior Engineer - Data & AI Infrastructure

Senior Engineer - Data & AI Infrastructure

BeyondUnited Kingdom
28 days ago
Job type
  • Full-time
Job description

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Beyond is a technology consultancy helping organizations thrive in a rapidly changing world.

We build, modernize, scale, and operationalize technology, creating Cloud and AI solutions to unlock productivity and drive customer growth.

Role Overview

  • We're seeking a Data Engineer Expert to help shape the foundation of intelligent systems built on high-quality product data. In this role, you'll be central to designing scalable data pipelines and knowledge structures that power critical AI and ML-driven features

As a Data Engineer Expert at Beyond, you'll :

  • Architect and implement scalable data pipelines (batch and real-time) to ingest, process, and enrich large-scale product data
  • Build sophisticated data transformations for tasks such as attribute extraction, normalization, deduplication, and entity resolution
  • Develop and maintain knowledge infrastructure, including metadata layers, product graphs, ontologies, and embeddings
  • Collaborate with domain experts to define and evolve taxonomies, classification schemas, and product hierarchies
  • Proactively monitor and enhance data quality, consistency, and lineage; enforce data contracts and validation rules
  • Continuously optimize pipeline performance, reliability, and scalability in a cloud-native environment
  • Promote engineering best practices around testing, documentation, versioning, and observability for data workflows

    • Things that will make you stand out :

  • Degree in Computer Science, Data Engineering, or a related technical discipline
  • 5+ years of hands-on experience building large-scale, production-grade data pipelines
  • Strong knowledge of Apache Beam, Dataflow, Pub / Sub, or similar streaming and batch processing technologies
  • Skilled in Python, Java, or Scala. Experience with SQL, dbt, or BigQuery is a plus
  • Solid foundation in data modeling, schema design, and data lifecycle management
  • Comfortable working with a variety of data formats, including JSON, Avro, and Protobuf
  • Strong analytical thinking, attention to detail, and an ability to collaborate across engineering, ML, and product teams

    • Nice to Have

  • Background in e-commerce, product data management, or catalog systems
  • Experience working with knowledge graphs or semantic data modeling
  • Familiarity with ML workflows and collaboration with data science or ML engineering teams

    • Having been named among the Sunday Times Best 100 Companies, we believe culture plays a large role in what we offer as an organization. We actively promote diversity in all its forms across our Studios, and we proudly, passionately, and proactively strive to create a culture of inclusivity and openness for all our employees.

    Beyond is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions in a space of belonging. It is not about race, gender, or age, it is about people. And without our people being their most creative and innovative selves, we are nothing.

    Seniority level

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    IT Services and IT Consulting

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