Data Engineer (Online Monitoring)

28-35hrs per week- open to discuss flexible working of these hours
Hybrid working with 40% attendance at our London office in Shoreditch.
The ASA is the UK’s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful.
In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system, which uses AI to proactively monitor online advertising. In 2025 the system captured and processed 60 million ads across social media, search and programmatic display. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more.
You will help develop and maintain the tools we use to capture, process, and apply AI models to large datasets of ads within the Active Ad Monitoring system. We’re looking for someone who wants to use their skills and expertise to help shape a safer advertising landscape. Our team mission is to protect UK consumers from adverts that are misleading, cause harm and target those within our society that are the most vulnerable. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the code you write helps protect UK consumers. You will work in a cloud-based environment, primarily in Python, and with a range of industry standard tools such as Snowflake, Docker and Airflow. You will work primarily with unstructured data - namely ads in a variety of formats including images, videos and text from a range of online channels.
About you

• You may not have been a Data Engineer before but you will have the ability to work with data in Python to a professional standard, and deliver high-quality code that works reliably in a production setting.
  
• You‘ll be working with people from both technical and non-technical backgrounds so you’ll need to be adept at being able to translate complex technical language to non-technical people.
  
• You’ll be impact focused- understanding the problems the ASA faces and prioritising technical solutions that will deliver real impact.
  
• You will need to be curious and ambitious, creatively solving problems that may arise whilst always having an eye on system/process improvements.
  
• You’ll enjoy working with others from different technical disciplines each using your unique expertise to further the work, whilst also developing your own technical knowledge and skills.
  We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively.
  We welcome applications from people of all backgrounds and identities, and we actively encourage candidates from minority or underrepresented groups to apply. Women are currently under‑represented within data engineering roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under‑represented in this area. Our recruitment process ensures applications are absent of names or any identifiable information which supports our aim of finding the best person for the role based on their skills and experience only.
  How to apply: If you’re interested in applying for this role, please review the job description below and complete our online application process which includes answering some online questions regarding your motivation for applying for this role and your skills and experience.
  Closing date: 16th March 2026. Please note we will be reviewing applications as they come in and we reserve the right to close the advert early if we receive a significantly high number of applicants.
  Please feel free to use AI to enhance your application but not to write it for you. We’re interested to know your thoughts, experiences and ideas. You’ll need to stand up what you’ve told us in your application if you attend an interview, so please make sure we feel the person we’ve met on paper is the person we meet in the room