Omnicom
Omnicom
Omnicom turli sohalardagi brendlar va tashkilotlarga xizmat ko‘rsatuvchi global marketing va korporativ kommunikatsiyalar guruhidir. Uning agentlik tarmoqlari reklama, media rejalashtirish va xarid qilish, raqamli marketing, jamoatchilik bilan aloqalar hamda integratsiyalashgan kommunikatsiyalar bo‘yicha tajribani birlashtiradi. Omnicom jamoalari brendlarni mustahkamlash, auditoriya bilan aloqa o‘rnatish va mijozlar bilan hamkorlikni qo‘llab-quvvatlashga qaratilgan kreativ, strategik va media dasturlarini ishlab chiqadi. Ish imkoniyatlari uning tarmog‘ida taqdim etiladigan marketing va media yo‘nalishlarini qamrab olishi mumkin.

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.

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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

O‘xshash ish o‘rinlari

Hewlett Packard Enterprise

Senior Channel Presales Technical Architect, Canada

Hewlett Packard Enterprise

Guide channel partners in designing and selling HPE storage and data protection solutions. Build technical advocacy, grow the opportunity pipeline, and support customer engagements.

Ochish
Hewlett Packard Enterprise

Senior Channel Presales Technical Architect, Storage — HPE Canada Remote

Hewlett Packard Enterprise

Help HPE channel partners position, design, and sell storage and data protection solutions. Support solution architecture, demonstrations, proofs of concept, pipeline development, and partner technical advocacy.

Ochish
Hewlett Packard Enterprise

Channel Presales Technical Architect, Canada

Hewlett Packard Enterprise

Guide HPE channel partners in positioning, designing, and delivering storage and data protection solutions. Build partner technical capability, develop pipeline, and help secure competitive wins.

Ochish
Hewlett Packard Enterprise

Senior Network Operations Cloud Engineer (Secret Clearance)

Hewlett Packard Enterprise

Operate HPE’s secure private cloud and datacenter networks supporting federal customers. Troubleshoot classified infrastructure and VMware NSX across Oklahoma, Pennsylvania, and Utah.

Ochish
General Dynamics Information Technology

Senior Azure Cloud Data Engineer

General Dynamics Information Technology

Modernize Indian Health Service clinical records by building Azure data pipelines and scalable healthcare data models. Develop ETL workflows and PySpark transformations for enterprise health data.

Ochish
Hewlett Packard Enterprise

Senior Network Operations Cloud Engineer (Secret Clearance)

Hewlett Packard Enterprise

Operate and secure Hewlett Packard Enterprise private-cloud networks supporting federal customers. Troubleshoot classified infrastructure, VMware NSX, ServiceNow changes, and mission-critical connectivity.

Ochish