Omnicom
Omnicom
Omnicom — әртүрлі салалардағы брендтер мен ұйымдарға қызмет көрсететін жаһандық маркетинг және корпоративтік коммуникациялар тобы. Оның агенттік желілері жарнама, медианы жоспарлау және сатып алу, цифрлық маркетинг, қоғаммен байланыс және интеграцияланған коммуникациялар салаларындағы сараптаманы біріктіреді. Omnicom командалары брендтерді нығайтуға, аудиториямен байланыс орнатуға және клиенттердің өзара әрекеттесуін қолдауға бағытталған креативті, стратегиялық және медиа бағдарламалар әзірлейді. Жұмыс мүмкіндіктері оның желісінде ұсынылған маркетинг және медиа бағыттарын қамтуы мүмкін.

Senior Data Engineer – Technology Consulting (London Hybrid)

Lead data engineering delivery for Credera’s UK consulting clients, building AWS platforms and AI/ML solutions. Mentor engineers, guide delivery decisions, and support regulated public-sector engagements.

Сипаттама

  • Deliver client-facing data engineering across a varied consulting project portfolio
  • Create modern, AI-enabled data platforms on AWS
  • Engineer distributed workloads, batch and streaming pipelines, and data foundations for machine learning, Generative AI, and LLM solutions
  • Partner with architects, technology consultants, and public-sector stakeholders
  • Own complex data engineering workstreams while meeting time, budget, and quality expectations
  • Manage teams and serve as an escalation point for delivery decisions
  • Productionise and run data and AI/ML solutions
  • Coach and mentor engineers and client counterparts
  • Support internal initiatives, training, and professional development
  • Advance innovative, high-quality engineering practices
  • Identify delivery risks early and coordinate cross-functional teams to resolve them

Талаптар

  • Applicants must have lived in the UK for the past five years
  • Applicants must not have spent more than six consecutive months outside the UK during that period
  • Active SC clearance is required
  • Appointment is subject to satisfactory BPSS and SC security clearance
  • Work effectively in a collaborative matrix organisation
  • Build data platforms with cloud-native services or commercial data analytics and warehouse products
  • Lead complex data engineering delivery with limited direction while meeting schedule, budget, and quality goals
  • Manage teams inclusively and serve as a key escalation point
  • Build data pipelines with Spark, Python, or SQL
  • Use AWS data and AI/ML services, including SageMaker
  • Work with AWS big data and lakehouse platforms such as EMR, Databricks, or Snowflake
  • Design and implement Data Lakes, Lakehouses, or Data Meshes
  • Understand data security, data governance, and responsible AI principles
  • Influence senior stakeholders and establish trusted relationships
  • Anticipate project risks and assemble multidisciplinary subject-matter expert teams
  • Bring subject-matter expertise across multiple clients and industries
  • Productionise and operate data and AI/ML solutions, including Generative AI or LLM applications
  • Coach and mentor engineers
  • Desirable: experience with automated data-quality checks and metrics
  • Desirable: familiarity with CI/CD tools such as GitHub Actions, Azure DevOps, Jenkins, or CircleCI
  • Desirable: experience with LLM or foundation-model applications, LangChain, vector databases, or agentic AI
  • Desirable: knowledge of MLOps and infrastructure as code using Terraform or CloudFormation
  • Desirable: experience with Power BI, Tableau, or Qlik
  • Desirable: experience applying AI or agentic techniques with GitHub Copilot, Claude Code, or equivalent

Артықшылықтар

  • Comprehensive benefits package
  • Individualised opportunities for professional growth
  • Access to training and development
  • Opportunities for accelerated progression based on performance
  • Social connection through team events and regular activities
  • Flexible hybrid working arrangement

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