Job Summary

Job Type


Years of Experience
Information not provided

Tech Stacks
Google Cloud

Job Description

This is an exciting time to join dentsu. In good times and bad we partner brands to achieve meaningful progress as a force for growth and good. Our teams of optimists, entrepreneurs and first-movers coalesce around the needs of our clients, unlocking unique possibilities for sustainable value and lasting change.

Inclusion and Diversity
We’re proud to be different and that starts with our people. We believe in equal opportunities for everyone. We won’t define people by their race, gender, sexual-orientation, age or disability. Individuality is what makes us great, we want everyone to bring their full self to work and create something amazing. That’s what we care about.
So, whether you’re joining us, or looking to move to a different part of the business, we work hard to make sure we create equal opportunities for everyone.

Role Purpose
The role is responsible for supporting the decision making based on data analysis and the development of business insights from the various data assets. The individual within this role will work closely with the team of the business and will be responsible

iProspect helps our clients achieve transformative change in the digital economy. Gleaning insight from data is fundamental to that change. We are looking for data engineer to help grow our technical specialism.

A balance of business and technical skill, Data engineer guide how we manage data to achieve business needs and objective.

Your technical skills make you an aspiring data engineer, versed in data acquisition, manipulation and analyses. Your commercial interest ensures that you would like to apply those skills to client business challenges and see the results; not be stuck in the background. You have the ability to (re)design a process as well as distill complexity into a simple message.  

You will join a distinctly ambitious team. We ask a lot, but in return you will build excellent career foundations within an industry at the heart of the digital revolution.

Detailed Description:
The key elements of the role are;
  • Influence stakeholders, using your analytical experience and technical specialism
  • Assist on multiple projects across a portfolio of clients
  • Build and improve existing analytical solutions
  • Gain practical experience across a range of technologies, including cloud platforms, Ad/MarTech stacks, customer data platforms, verification technology, visualisation tools and more
  • Oversee data management and governance
  • Identify weaknesses in processes and reengineer them
  • Partner closely with the wider agency; working alongside iProspect and other Dentsu teams to apply data to business decisions

Essential qualities
  • Strong logic & quantitative skills, including analytical abilities and mathematical proficiency
  • Proficient coding; experience in SQL, R, Python, Go, JavaScript are all relevant
  • Experience with cloud service providers (Google Cloud, AWS, Azure)
  • Knowledge of analytical modelling; able to determine why a number is right or wrong.
  • Self-motivated & articulate in explaining technical concepts to a less specialist audience
  • Great interpersonal skills; ability to build and maintain strong working relationships internally and externally
  • Strong Microsoft Office skills, notably;
  • Especially strong in Excel – data wrangling, pivot tables, macros etc
  • Strong in PowerPoint – data presentation & story telling
  • Remain calm when faced with multiple tasks; able to prioritise and deliver on time
  • Willingness to ‘pick up and run’ with projects when necessary; own deliverables and see them to completion
  • Comfortable working & learning independently, as well as in a team
  • Understand how we add value to our clients’ business
  • Fluency in English (written and oral)

 Additional skills
  • Knowledge of digital/marketing fields e.g. SEO, PPC, programmatic and social
  • Experience with digital tracking technologies
  • Experience with cloud service providers (AWS, Azure, Google Cloud)
  • Experience with container orchestration (Docker, Kubernetes)
  • Experience with infrastructure-as-code tools (Terraform, Pulumi)
  • Experience with data visualisation tools (Datorama, Qlikview, Tableau, Data Studio)
  • Experience with machine learning tools
  • Experience with consuming APIs
  • Experience in additional coding languages

 *Please provide your CV for our review.*
*We regret that only shortlisted candidates will be notified


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