Data Engineer

Publicis Groupe ANZ
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer - AI Analytics and EdTech Developments

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Company description

We help brands make BOLD MOVES

Nowadays, brands want rapid, spectacular growth and they expect media to deliver it.

Clients used to give us media briefs that said “deliver 80% awareness” or “give me an impactful Christmas campaign.”

Now we hear

Take me from 4th to 1st in my category

Help me grow 10% in a market declining 10%

Make me the most loved brand in my industry

These are huge asks of media, that can’t be met through tweaking the media plan of two years ago.

Decades of advertising research prove that without a big change, large brands stay large and small brands stay small.

This is why Zenith help brands make BOLD MOVES.

Bold moves are big, brave changes to media strategy, delivering more impact for brands and more value for consumers.

Bold moves are backed up with a solid forecast – they are a better path to growth.

Bold moves build a partnership – we believe in this approach so much we link our growth to your success.

Bold Moves bring bigger ROI

This approach works for our clients, our people and consumers – it’s why we are recognised as the UK’s best media agency.

Our Commitment

At Zenith UK, we believe that fostering an inclusive culture where all talent can thrive makes our company stronger. It enables a greater idea exchange, which fosters innovation and creativity, and enriches our perspective. We are committed to Publicis Groupe’s wide variety of talent engagement and inclusion programming, and encourage our people to take an active role in continuing to drive positive change within our agency.

Overview

We are looking for a Data Engineer to join our Product Development team. You will work closely with the Scrum Master to deliver our technical builds, approach, and prioritisation.

Are you a developer, data or software engineer with experience working with advertising/media dataset, and a history of creating data pipelines and structures that can be used in front end applications or creating automations that make data work harder? If so this is the role for you

Qualifications

To be successful in this role you will need:

  • Previous experience as a data engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (minimum Python & SQL)
  • Hands‑on experience with SQL database design
  • Understanding of ETL, serverless and cloud computing (Google Cloud Platform preferred)
Additional information

Zenith UK has fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans 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. Well‑being 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).


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.