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Bertelsmann

Global media, services, and education conglomerate

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKHybrid

About the Job

Requirements

  • Extensive experience architecting cloud-based data engineering, business intelligence, and data science solutions.
  • Experience with dbt for transforming, modelling, testing, and documenting data within a modern data platform.
  • Strong experience designing scalable data models and schemas for structured and unstructured data, including transactional, web analytics, customer relationship management, and marketing data.
  • Expert knowledge of data modelling and data structures, with the ability to select the right approach for different business and technical use cases.
  • Very strong SQL skills and technical experience with PostgreSQL, SQL Server, and Data Vault.
  • Experience designing both code-based and tool-based solutions for data ingestion and storage, and judgement to determine when each approach is most beneficial.
  • Experience migrating and refactoring legacy data solutions and physical environments into cloud-based platforms, including identifying and managing associated challenges and opportunities.
  • Experience designing data structures that enable appropriate use of first- and third-party data while supporting GDPR requirements.
  • Ability to work closely with engineering teams to design and build complex data environments and proactively address data issues.
  • Strong influencing and communication skills and ability to work effectively with technical colleagues, peers, and business stakeholders.
  • An inclusive and collaborative approach, with appreciation of diverse perspectives and ways of working.
  • Must currently be based in the UK and have full right to work there.

Responsibilities

  • Design robust, scalable data pipelines and architecture to bring together internal and external data sources within the cloud data platform.
  • Develop the architecture and migration approach for moving legacy data into Snowflake, while supporting appropriate data lake and transformed data layers.
  • Embed security, quality, performance, and scalability into data-environment design so analysts and decision makers can use the environments confidently.
  • Ensure the data architecture supports Power BI reporting and analytics, as well as wider analytical and business intelligence needs.
  • Set technical direction for data architecture and keep it aligned with the wider data strategy, platform roadmap, and business priorities.
  • Support data governance by ensuring data structures align with agreed policies, are appropriately catalogued, and enable secure and compliant use of first- and third-party data.
  • Partner with data science and analytics teams to design environments and structures that support advanced analytics, machine learning, and artificial intelligence use cases.
  • Stay connected to developments across the data industry, identifying opportunities to improve the platform, increase efficiency, and support new business outcomes.

Desired Qualifications

  • Experience working within the media sector or a similarly complex organisation.
  • Experience with AWS Functions and related cloud technologies.

About the Company

Bertelsmann

Global media, services, and education conglomerate

Bertelsmann is a global media, services, and education group made up of eight autonomous divisions, including RTL Group, Penguin Random House, BMG, and Arvato. It operates across B2B and B2C markets, with activities in broadcasting, book publishing, music rights management, and business process outsourcing. Its products range from streaming subscriptions and printed books to logistics, CRM services, and AI-powered content and rights-management tools. The company differentiates itself through a decentralized, entrepreneur-led structure that reinvests profits into content and digital infrastructure via its Boost program, backed by private foundations and the Mohn family. It aims to grow organically and through selective acquisitions while leveraging large-scale data and cross-divisional synergies to deliver personalized content and service experiences at a global scale.

Company size
10,001+
Company stage
Debt Financing
Total funding
$1.4B
Headquarters
Gütersloh, Germany
Founded
1835

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