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UBDS Group

Global Capability Centre for cloud, cybersecurity

Data Engineer

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

About the Job

Requirements

  • Experience translating business questions into data or analytical requirements, with guidance where needed.
  • Good SQL and Python skills for data modelling, transformation, automation and analysis.
  • Experience working with data models in data warehouses, lakehouse environments or analytics tools such as Power BI.
  • Familiarity with modern data engineering frameworks and tools such as Spark, PySpark, Pandas and orchestration tools.
  • Experience working with cloud data platforms on AWS or Azure, such as Databricks, Redshift or Microsoft Fabric.
  • Understanding of software engineering fundamentals, including Git, testing, CI/CD and modular design.
  • Basic analytics and statistical understanding, including metrics and simple experimentation.
  • Awareness of AI/ML concepts, such as using model APIs or prompts, and a desire to build experience in this area.
  • Understanding of data governance, security and quality concepts, including access control and GDPR considerations.
  • Experience communicating insights through data visualisation using tools such as Power BI, Tableau or Python charts.
  • A user-focused approach and curiosity about who will use the solution and why it matters.
  • Ability to communicate clearly and work collaboratively in client-driven, sometimes ambiguous environments.
  • Willingness to contribute to clear slides and written materials with support and guidance.
  • A logical, thoughtful approach to problem solving and delivery.
  • Experience contributing to production systems or live services, with an interest in learning from user feedback.
  • Attention to detail in code, documentation and naming conventions.
  • A product mindset, with experience working in Agile teams delivering features and outcomes iteratively.
  • Awareness of industry and government standards, and openness to learning and applying them in delivery.
  • Candidates should ideally hold active SC clearance or be eligible and willing to undergo the clearance process.

Responsibilities

  • Help translate business problems into data, analytical and technical tasks with support from senior colleagues.
  • Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools.
  • Work with data warehouses, lakehouse platforms and event-driven patterns, including building semantic models for analytics and visualisation.
  • Contribute to solutions built on cloud data and AI platforms (AWS/Azure), following good software engineering, testing and CI/CD practices.
  • Apply analytics, experimentation, AI/ML integration, governance, security and data quality practices as part of delivery teams.
  • Create clear data visualisations and explanations that help users understand and act on insights.
  • Work closely with users and stakeholders in Agile, client-driven environments, learning from live services and user feedback.
  • Follow relevant industry and government standards and contribute to solutions that are well documented, maintainable and easy to hand over.

About the Company

UBDS Group

Global Capability Centre for cloud, cybersecurity

UBDS Group delivers end-to-end digital lifecycle services for public and private sector clients, focusing on cloud, cybersecurity, data, and AI, with a Global Capability Centre in Bengaluru that supports global operations. Its offerings include UBDS Digital, Rayo for AWS services, and 3B Data Security, delivered through long-term partnerships with Microsoft, AWS, Zscaler, and Cloudflare, backed by a multinational delivery team. It differentiates itself with a GCC-based model, a multi-brand portfolio, enterprise-scale partnerships, and a certified B Corp commitment to social and environmental goals like Net Zero by 2027. Its goal is to be a trusted, long-term partner for digital transformation, delivering sustained value and responsible growth while expanding its global delivery footprint.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bengaluru, India
Founded
2025

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