Weekly office requirement: Hybrid, 1 day/week
Employment type: Permanent, full-time, employee
Linked Seniority level: Mid-Senior
Every business is using AI. The ones that get it right start with real people. GWI is the human intelligence underneath: verified data that helps businesses understand what moves their audience, and act on it faster. If you want your work to matter, keep reading.
What will I be doing?
As our Data Engineer you’ll maintain and enhance the Business Data Platform that sits at the heart of our BI Engineering team, serving analytics built on GWI’s internal data to the wider business so it can make confident decisions. You’ll work closely with colleagues across GWI to keep pipelines dependable, data models clear and analytics-ready, and data securely accessible across dashboards and AI tooling.
The accuracy and accessibility of our data shape how we measure performance, plan ahead and adopt AI-assisted analytics, so your work directly supports GWI’s goal of putting consumer insights at the heart of every organisation.
A few things you’ll be responsible for:
- Building and running reliable, well-monitored data pipelines, infrastructure and warehouse, backed by strong testing and data quality practices.
- Designing analytics-ready data models with clear lineage and documentation, in close partnership with analysts and stakeholders.
- Optimising warehouse cost and performance through query tuning, efficient data modelling and careful resource management.
- Managing data access so the right people and AI assistants can securely find, understand and use trusted, well-documented data.
Working at GWI means a high tempo environment where change is common. We’re building quickly because the industry is moving quickly, and our customers rely on us to stay ahead. If you like being part of that, you’ll enjoy it here.
What do I need to bring with me?
You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn.
- Data engineering experience: a strong track record of impactful delivery as a Data or Analytics Engineer, with proficiency in SQL and Python.
- End-to-end pipelines: hands-on experience with ingestion, orchestration, modelling, transformation and data quality on a cloud data stack, such as BigQuery, Airflow and dbt (or equivalents).
- Engineering practices: Git, code reviews, testing, documentation and CI/CD, plus comfort using AI-assisted development tools while reviewing and testing their output with care.
- Data governance: knowledge of data accessibility, cataloguing and quality assurance.
- Independence and collaboration: you can scope, estimate and deliver work independently in an Agile environment, and you communicate well with analysts and stakeholders.
- A plus: exposure to preparing data for AI use cases, such as semantic and metrics layers, well-documented models, and LLM-based tooling (RAG, embeddings, vector databases).
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Skills Required
- Strong professional experience delivering impactful work as a Data Engineer or Analytics Engineer
- Proficiency in SQL and Python
- Hands-on experience with end-to-end data pipelines, including ingestion, orchestration, modeling, transformation, and data quality
- Experience with a cloud data stack such as BigQuery, Airflow, and dbt or equivalent technologies
- Experience with Git, code reviews, testing, documentation, and CI/CD
- Comfort using AI-assisted development tools and reviewing and testing their output carefully
- Knowledge of data accessibility, cataloguing, and quality assurance
- Ability to scope, estimate, and deliver work independently in an Agile environment
- Strong communication skills with analysts and stakeholders
- Exposure to preparing data for AI use cases, including semantic and metrics layers, documented models, RAG, embeddings, or vector databases
What We Do
We’re the target audience company that does things a bit differently. Our job is to cut through the noise and give you facts you can trust. Our flagship study represents more than 2 billion people around the world, and it tells you how consumers are changing; their actions, ideals, perceptions, feelings... (you get the gist). The world’s largest (and smallest) brands, marketing agencies and media organizations rely on us every day to help them stand out. Working with the likes of Twitter, Google, Spotify, WPP, IPG and Omnicom Group, we help them find really original and in-depth insights through our one-of-a-kind platform. And if that doesn’t float your boat, we’ve got a whole bunch of custom services to let you do more tailored research across 48 countries – asking whoever you want, whatever you want. We’re growing fast, and we’re always on the lookout for out-of-the-box thinkers to help us do more great things.
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