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Adelphi Group

Manager, Data Engineering

Adelphi Group London, England, United Kingdom

Pharmaceutical Manufacturing · 501-1,000 employees

Yesterday
Mid (2-5 yrs) Full-time United Kingdom
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About the role

You will contribute to the end-to-end development and maintenance of a config-driven data engineering platform using ELT pipelines. This includes writing dbt models, managing GCP infrastructure, and collaborating with analysts to ensure data integrity and scalability.

What they look for

Dbt Python SQL Google Cloud Platform BigQuery Data Engineering ELT Pipelines Jinja Git CI/CD Data Modeling Cloud Functions Pandas Infrastructure as Code Docker Data Integrity

Requirements

The role requires expert knowledge of SQL, proficiency in Python, and hands-on experience with dbt and cloud platforms. Candidates should be comfortable with Git, CI/CD practices, and data modeling concepts.

Full description

Agency:

Omd

Job Function:

Data and Analytics

Job Subfunction:

Data Engineering

Job Description:

This role sits within our Omnicom Media Data and Technology team. In this role, you will contribute to our config-driven data engineering platform (DMI), which standardises ingestion, transformation, and delivery of paid media data across 26+ ad platforms for multiple global clients. You will work alongside other like minded data engineers to build and maintain ELT pipelines - from Cloud Function ingestion into BigQuery through to dbt-powered transformation - ensuring a high standard in data integrity and scalability. This is an exciting role with excellent career opportunities within a high-profile team and scope to strategically shape the agency. We are looking for someone who can hit the ground running, contribute to a mature mono-repo data platform, and help drive best practices across the engineering team. Experience with digital media data is highly beneficial.

Responsibilities:

  • Contribute to the end-to-end data pipeline - from Cloud Function ingestion through dbt transformation (staging → intermediate → marts) to analysis-ready tables in BigQuery.
  • Write and update dbt models, macros, and Jinja templates, working within our macro-first framework that auto-generates models across 26+ ad platforms.
  • Add new platform integrations and extend existing ones using platform YAML definitions and Python ingestion functions.
  • Contribute to the Python CLI tooling that orchestrates client onboarding, config compilation, and pipeline execution.
  • Help maintain GCP infrastructure (BigQuery, Cloud Run, Cloud Functions, Cloud Scheduler) with guidance from senior engineers.
  • Write and maintain tests (pytest, dbt tests) and support CI/CD pipelines (Cloud Build).
  • Collaborate with analysts and BI teams (Power BI, Looker Studio, Tableau, etc.) to ensure data models meet reporting needs.
  • Participate in code reviews, suggest improvements, and contribute to documentation (MkDocs).

About You

Required:

  • Experience with dbt - writing models, using Jinja basics, running tests and seeds.
  • Good knowledge of Python - comfortable writing scripts, working with libraries like Pandas, and reading existing codebases.
  • Expert knowledge of SQL - writing queries, joins, aggregations, and window functions.
  • Experience with at least one cloud platform (GCP preferred, but AWS or Azure also relevant).
  • Comfortable with Git (branching, pull requests, code reviews) and basic CI/CD concepts.
  • Familiarity with data modelling concepts (tables, views, star schema basics).

Highly Desirable:

  • Experience with Google Cloud Platform services - BigQuery, Cloud Functions, Cloud Storage, or Cloud Run.
  • Experience with dbt macros, Jinja templating, incremental models, or packages.
  • Familiarity with Docker and containerised workloads.
  • Exposure to Infrastructure as Code (Terraform).
  • Knowledge of the digital media / paid media industry - we process data from 26+ ad platforms (Google Ads, Meta, DV360, TikTok, etc.).

Nice to Have:

  • Familiarity with CLI frameworks (Click) or config-driven architectures (Pydantic, YAML).
  • Experience with modern Python dev tooling - Poetry, ruff, pre-commit.
  • Exposure to multi-cloud integrations (Azure Blob, AWS S3, SFTP).
  • Experience with Databricks.

Qualities:

  • Eagerness to learn – a genuine interest in growing your skills across the data stack, from SQL and Python to cloud infrastructure.
  • Curiosity – a natural inclination to explore new tools, ask questions, and understand how things work.
  • Attention to detail – care about getting data right, writing clean code, and following established patterns.
  • Problem-solving – an ability to think through data issues methodically and ask for help when needed.
  • Collaboration – a desire to work openly, participate in code reviews, and learn from more experienced engineers.

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice/