At a Glance
- Tasks: Lead the design and architecture of a cutting-edge data platform using modern technologies.
- Company: Join Publicis Media, a global leader in data-driven marketing solutions.
- Benefits: Enjoy flexible working, wellness days, and fantastic local discounts.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make an impact by shaping the future of performance marketing with AI-powered solutions.
- Qualifications: Expertise in Python, SQL, and data engineering practices required.
The predicted salary is between 60000 - 80000 € per year.
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. A key business solution of Publicis Groupe, Publicis Media’s 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.
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.
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 EngineTM 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.
- 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.
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).
Senior Data Engineer employer: UNAVAILABLE
Publicis Media is an exceptional employer, offering a dynamic work culture that prioritises employee well-being and growth. With benefits like flexible working arrangements, additional paid leave for personal reflection, and comprehensive family-friendly policies, employees are empowered to thrive both personally and professionally. The collaborative environment fosters innovation and mentorship, making it an ideal place for Senior Data Engineers to advance their careers while contributing to cutting-edge data solutions in a global context.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. We all know that confidence is key, so the more you rehearse, the better you'll perform!
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and data pipeline development, and don’t forget to mention any hands-on work with AWS or GCP!
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 your skills align with our mission at Publicis Media. Keep it concise but impactful!
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. Whether it's building ELT workflows or optimising data pipelines, we want to see what you've done and how it relates to the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at UNAVAILABLE
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and Apache Spark. Brush up on your experience with AWS or GCP, and be ready to discuss how you've used tools like Fivetran, Airflow, and Databricks in your previous roles.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you tackled them. Think about complex problems in distributed data systems and be ready to explain your thought process and the solutions you implemented.
✨Demonstrate Collaboration Experience
Since this role involves working closely with various teams, be prepared to share examples of how you've collaborated with product and data science teams in the past. Highlight any mentoring experiences as well, as they’ll want to see your leadership potential.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the future direction of the Data Foundation Platform or how they measure success in their data initiatives. This shows you’re not just interested in the job, but also in contributing to their goals.
