Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer

Publicis Groupe
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Company Description

Publicis Media helps clients drive sustainable business growth by harnessing the modern media landscape to drive one-to-one consumer connections at scale. Publicis Media UK is made up of 2000 people working across market-leading media agencies including Zenith, Starcom and Spark Foundry as well as specialist practices Publicis Media Exchange (PMX), Performics, Publicis Sport & Entertainment, Publicis Media Content and NextTECHnow. Together they combine deep expertise in media investment, strategy, insights and analytics, data and technology, commerce, performance marketing and content. Publicis Media is part of Publicis Groupe and is present in more than 100 countries with over 23,500 employees worldwide.

Our CommitmentPublicis Media is committed to building a culturally diverse workforce and therefore strongly encourages applications from underrepresented groups. We are committed to equality of opportunity and welcome applications from individuals, regardless of their background.

Job Description

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

Publicis Mediahas fantastic benefits on offer to all of our employees. In addition to the classics,Pension,Life Assurance, Private Medical and IncomeProtectionPlanswe also offer;

  • WORK YOUR WORLDopportunity 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 BENEFITS24/7 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 POLICIESWe 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 OFFYou are entitled to an additional day off for your birthday, from your first day of employment.
  • GREAT LOCAL DISCOUNTSThis includes membership discounts with Soho Friends, local restaurants and retailers in Westfield White City and Television Centre.

Full details of ourbenefits 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 thePublicis Career Pagewhich showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

#LI-TT1


#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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.