Senior Data Engineer

Senior Data Engineer

Full-Time 48000 - 84000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain scalable data pipelines across cloud platforms.
  • Company: Join Publicis Groupe, a global leader in communications and marketing transformation.
  • Benefits: Hybrid working model, inclusive benefits, and opportunities for professional growth.
  • Why this job: Be part of a dynamic team driving innovation in the platform world.
  • Qualifications: Experience in data engineering, Python, SQL, and cloud platforms like GCP and AWS.
  • Other info: Embrace diversity and enjoy a supportive work environment.

The predicted salary is between 48000 - 84000 ÂŁ per year.

Company description Publicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith, as well as global accelerator PMX; immersive experience group PMCI and access to integrated platform-based technologies and offerings from CJ, Epsilon and Influential. Publicis Groupe operates as a key business solution of Publicis and its digital-first, data-driven global solutions deliver client value and drive growth in a platform-powered world. It is present in over 100 countries with over 23,000 employees worldwide.

Overview

Performics is the Performance Centre of Excellence within Publicis Groupe, delivering AI-powered, data-driven marketing solutions for global brands. Our flagship platform, OneSuite, unifies automation, orchestration, and intelligent data systems to transform how performance marketing operates across Search, Social, Programmatic, and Commerce channels.

At the heart of this ecosystem is the Data Foundation Platform (DFP) — the unified data layer that powers OneSuite’s analytics, AI orchestration, and decisioning capabilities.

DFP ingests, transforms, and standardizes data from 20+ marketing platforms, enabling intelligent agents, real-time optimization, and cross-channel performance insights.

About the Role

We’re seeking a Senior Data Engineer to lead the technical direction and architecture of the Data Foundation Platform within OneSuite. This is a hands‑on engineering role — you’ll contribute directly to production code, build pipelines, and review implementations while shaping the long‑term data platform architecture.

You’ll operate as the technical authority for DFP — guiding design patterns, ensuring code quality, and solving complex problems in distributed data systems. You’ll collaborate closely with peer charters to ensure the data foundation remains reliable, scalable, and production‑ready.

Responsibilities

Data Platform Architecture

  • Lead the hands‑on design, coding, and evolution of DFP’s cloud-native data architecture (AWS/GCP/Snowflake).
  • Architect and implement scalable ingestion and transformation pipelines using Fivetran, Databricks, and Airflow/DBT.
  • Design and code modular data services and APIs that unify campaign, conversion, and audience datasets across 20+ marketing platforms.
  • Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows.
  • Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team.
  • Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance.

Data Engineering Leadership

  • Drive best practices in data modeling, CI/CD, code reviews, and performance optimization.
  • Collaborate across engineering teams to define data contracts, schema validation rules, and automated quality checks.
  • Mentor junior engineers by pairing on code, reviewing pull requests, and helping them deepen technical maturity.
  • Participate actively in sprint planning and retrospectives, ensuring engineering execution aligns with platform goals.
  • Partner with Product and Data Science teams to translate analytical requirements into efficient, production‑grade data solutions.

AI-Ready Infrastructure

  • Design and maintain pipelines supporting Retrieval-Augmented Generation (RAG) and Context Engine™ workflows.
  • Build high-performance APIs and caching strategies enabling low-latency data access for AI agents and orchestration systems.
  • Implement vector-based data retrieval layers (pgVector, Pinecone) and ensure efficient embedding pipelines for AI contexts.
  • Partner with AI teams to monitor data latency, cost efficiency, and observability metrics.

Collaboration & Governance

  • Partner with Platform Operations and Security to enforce privacy, compliance, and access control frameworks (GDPR, SOC2).
  • Work cross-functionally with analysts, AI engineers, and platform leads to deliver production‑grade, business‑critical data products.
  • Lead by example in data documentation, pipeline testing, and lineage tracking — ensuring transparency and reproducibility across all pipelines.

Qualifications

  • Hands‑on experience as a Data Engineer or Data Platform Developer, including direct contributions to production codebases.
  • Expert-level proficiency in Python, SQL, and Apache Spark for data pipeline development.
  • Proven experience building ELT workflows using Fivetran, Airflow, DBT, or Databricks.
  • Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale.
  • Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow).
  • Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads).
  • Demonstrated expertise in code versioning (GitHub), CI/CD integration, and data observability practices.
  • Ability to write clean, modular, testable code and review peers’ contributions for maintainability and performance.

Additional information

Publicis Groupe has fantastic benefits on offer to all of our employees. In the UK, in addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plan, we also offer:

  • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
  • REFLECTION DAYS — Two additional days of paid leave to step away from your usual day‑to‑day work and create time to focus on your well‑being and self‑care.
  • HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
  • FAMILY FRIENDLY POLICIES We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave.
  • FLEXIBLE WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF You are entitled to an additional day off for your birthday, from your first day of employment.
  • GREAT LOCAL DISCOUNTS This includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.

Full details of our benefits will be shared when you join us!

Publicis Groupe operates a hybrid working pattern with full‑time employees being office‑based three days during the working week.

We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please make sure you check out the Publicis Career Page, which showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

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Senior Data Engineer employer: Publicis Groupe

Publicis Groupe is an exceptional employer that fosters a vibrant work culture where innovation and diversity are celebrated. With a commitment to employee growth, the company offers extensive learning opportunities and access to cutting-edge resources through its AI-based platform, Marcel. Located in a dynamic environment, employees benefit from a hybrid working model that promotes work-life balance while being part of a global network of 100,000 professionals dedicated to unlocking growth in the platform world.
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Contact Detail:

Publicis Groupe Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Network like a pro! Reach out to current employees at Publicis Groupe on LinkedIn. Ask them about their experiences and any tips they might have for landing the Senior Data Engineer role. Personal connections can give you an edge!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you're comfortable discussing cloud platforms like GCP, AWS, and Databricks. We want to see your expertise shine through when you talk about building scalable data solutions.

✨Tip Number 3

Showcase your problem-solving skills during interviews. Be ready to discuss specific challenges you've faced in data engineering and how you tackled them. We love candidates who can think on their feet and come up with innovative solutions!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Publicis Groupe.

We think you need these skills to ace Senior Data Engineer

Cloud-based Data Solutions
GCP
Snowflake
Databricks
Data Pipeline Design
ETL/ELT Workflows
Python
SQL
Data Modelling
Data Warehousing
Distributed Systems
Data Quality Checks
APIs Integration
Git
CI/CD Pipelines

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with GCP, Snowflake, and Databricks, and showcase your skills in Python and SQL. We want to see how your background aligns with what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at Publicis Groupe. Be sure to mention any relevant projects or achievements that demonstrate your expertise.

Showcase Your Problem-Solving Skills: In your application, don’t forget to highlight your problem-solving abilities. Share examples of how you've tackled challenges in previous roles, especially those related to data pipelines and cloud infrastructure. We love seeing candidates who can think on their feet!

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at Publicis Groupe

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of GCP, Snowflake, and Databricks. Be ready to discuss your experience with building scalable cloud-based data solutions and how you've tackled challenges in previous projects. This is your chance to showcase your technical expertise!

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've independently solved complex problems in data engineering. Think about specific scenarios where you had to design, build, and validate output data. Highlight your analytical skills and how you approached these challenges.

✨Collaborate Like a Pro

Since you'll be working closely with data analysts, scientists, and software engineers, be ready to discuss how you've collaborated in the past. Share experiences where you understood data needs and developed effective solutions together. Teamwork is key!

✨Emphasise Data Quality and Governance

Publicis Groupe values reliable and trustworthy data, so be prepared to talk about your experience with data quality checks and governance practices. Discuss how you've implemented monitoring systems and ensured data availability in your previous roles.

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