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Omnicom Group

Global marketing, media, and PR network

Lead Data Engineer - Technology Consulting

Data EngineeringConfirmed live in the last 24 hours
Full-time£84k - £100k

About the Job

Requirements

  • Ability to build data platforms using cloud-native products or commercial data analytics or data warehouse software.
  • Experience leading multiple complex areas of data engineering delivery to time, cost, and quality with minimal direction.
  • Experience managing teams inclusively and effectively to deliver agreed scope, and acting as the key escalation point for decisions affecting the work area.
  • Experience building data pipelines using Spark, Python, or SQL.
  • Experience with AWS and its data and AI/ML services, such as SageMaker.
  • Experience with big data and lakehouse platforms on AWS, including EMR, Databricks, or Snowflake.
  • Experience building data platforms such as data lakes, lakehouses, or data meshes that underpin analytics and AI workloads.
  • Understanding of data security, data governance, and responsible AI principles.
  • Ability to partner with and influence senior stakeholders, build trust across stakeholders, and drive outcomes.
  • Track record of anticipating project risks and establishing multifunctional subject-matter-expert teams to analyse and resolve issues.
  • Recognised as a subject-matter expert who drives innovation and market-leading practices, with knowledge and experience across multiple clients and industries.
  • Drive for self-improvement and learning, including learning new programming languages.
  • Ability to solve problems pragmatically and create clarity and structure in ambiguous situations.
  • Experience productionising and operating data and AI/ML solutions, including generative AI or large language model-based applications.
  • Experience coaching and mentoring engineers and establishing structured development opportunities for junior team members and client counterparts.
  • Must hold active SC clearance.

Responsibilities

  • Lead multiple complex areas of data engineering delivery to time, cost, and quality with minimal direction.
  • Manage teams to deliver agreed scope and act as the key point of escalation for decisions that impact the assigned area of work.
  • Spend most working time on client work and the remainder on internal projects, training, and development.
  • Build data pipelines and data platforms for analytics and AI workloads.
  • Productionise and operate data and AI/ML solutions, including generative AI or large language model-based applications.
  • Coach and mentor engineers, and put structured development opportunities in place for junior team members and client counterparts.
  • Work three days per week onsite at a client site as required or at a local Credera office.

Desired Qualifications

  • Experience building automated data quality checks and metrics.
  • Experience creating or maintaining production software delivery pipelines using common continuous integration and continuous delivery tools, such as GitHub Actions, Azure DevOps, Jenkins, or CircleCI.
  • Experience building large language model or foundation-model applications using frameworks such as LangChain, vector databases, or agentic AI approaches.
  • Experience with machine learning operations and infrastructure as code, such as Terraform or CloudFormation, for data, analytics, and AI services.
  • Experience with data reporting and visualisation tools, such as Power BI, Tableau, or Qlik.
  • Experience using AI or agentic techniques in the role through GitHub Copilot, Claude Code, or equivalent.

About the Company

Omnicom Group

Global marketing, media, and PR network

Omnicom Group is a global marketing and corporate communications holding company that organizes a network of agencies to offer advertising, strategic media planning and buying, digital marketing, and public relations. Its products and services are delivered through this portfolio of agency networks and specialty firms, generating revenue from project-based fees, commissions, and performance-based incentives. The company uses the Omni platform to base marketing and sales solutions on data, helping turn insights into creative campaigns and media plans. Unlike many competitors, Omnicom combines a wide international footprint with a diversified set of agencies and a centralized data-driven approach, and it expands through strategic acquisitions. Its goal is to help clients grow brands and businesses by delivering coordinated, data-informed marketing and communications across markets worldwide.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1944

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