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- Tasks: Lead the development of data pipelines and enhance audience targeting systems.
- Company: Join a fast-growing video marketing platform revolutionising digital advertising.
- Benefits: Enjoy a greenfield opportunity with significant influence and potential for remote work.
- Why this job: Make a direct impact on campaign performance for top global brands in an innovative environment.
- Qualifications: Strong experience in Python, Node.js, AWS, and a background in ad tech is preferred.
- Other info: This role offers a chance to shape the future of digital advertising through data.
The predicted salary is between 43200 - 72000 £ per year.
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This range is provided by hubbul. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
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Job Title: Head of Data Engineering (Ad Tech)
About My Client:
My client is a fast-growing video marketing platform that empowers brands to extend their creative content beyond walled gardens and onto the open web. Founded just three years ago, the company has grown to a 14-person team and is now entering an exciting phase of expansion following a successful funding round.
Role Overview:
My client is seeking an experienced Lead Data Engineer / Head of Data Engineering to join their engineering team and lead the development and optimisation of their data pipeline architecture. This is a greenfield opportunity with significant influence over product development and technology stack decisions.
Key Responsibilities:
- Design and implement data pipeline integrations with SSPs for audience data classification.
- Develop and integrate Customer Data Platform (CDP) solutions for user-level data capture.
- Implement cross-platform identity tracking systems to enhance user targeting.
- Work with first-party data integration and identity resolution platforms.
- Collaborate closely with the engineering team to enhance platform capabilities.
Technical Requirements:
- Strong experience with Python, Node.js, and AWS.
- Solid background in data engineering, ideally with exposure to machine learning.
- Prior experience in the ad tech industry (DSP or data company experience is highly desirable).
- Deep understanding of data pipeline architecture and implementation.
Job Title: Head of Data Engineering (Ad Tech)
About My Client:
My client is a fast-growing video marketing platform that empowers brands to extend their creative content beyond walled gardens and onto the open web. Founded just three years ago, the company has grown to a 14-person team and is now entering an exciting phase of expansion following a successful funding round.
Role Overview:
My client is seeking an experienced Lead Data Engineer / Head of Data Engineering to join their engineering team and lead the development and optimisation of their data pipeline architecture. This is a greenfield opportunity with significant influence over product development and technology stack decisions.
Key Responsibilities:
- Design and implement data pipeline integrations with SSPs for audience data classification.
- Develop and integrate Customer Data Platform (CDP) solutions for user-level data capture.
- Implement cross-platform identity tracking systems to enhance user targeting.
- Work with first-party data integration and identity resolution platforms.
- Collaborate closely with the engineering team to enhance platform capabilities.
Technical Requirements:
- Strong experience with Python, Node.js, and AWS.
- Solid background in data engineering, ideally with exposure to machine learning.
- Prior experience in the ad tech industry (DSP or data company experience is highly desirable).
- Deep understanding of data pipeline architecture and implementation.
Desired Skills and Experience
Head of Data Engineering (AdTech) Contract Are you ready to shape the future of digital advertising through data? A fast-growing, innovative ad tech company is looking for a Head of Data Engineering to lead the development of its audience intelligence and targeting infrastructure. This is a rare opportunity to build from the ground up and make a direct impact on campaign performance for some of the world's most recognisable brands.
We Are Aspire Ltd are a Disability Confident Commited employer
Seniority level
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Mid-Senior level
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Employment type
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Data Infrastructure and Analytics, Technology, Information and Internet, and Technology, Information and Media
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Head of Data Engineering (Ad Tech) (London) employer: hubbul
Contact Detail:
hubbul Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering (Ad Tech) (London)
✨Tip Number 1
Network with professionals in the ad tech industry, especially those who have experience in data engineering. Attend relevant meetups or webinars to connect with potential colleagues and learn about the latest trends in data pipeline architecture.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects related to data engineering or ad tech. This not only enhances your portfolio but also demonstrates your commitment to the field and your ability to work collaboratively.
✨Tip Number 3
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Node.js, and AWS. Consider taking online courses or certifications to deepen your knowledge and make you a more attractive candidate.
✨Tip Number 4
Prepare for interviews by understanding the company's products and how they leverage data for audience targeting. Be ready to discuss how your previous experiences align with their goals and how you can contribute to their growth.
We think you need these skills to ace Head of Data Engineering (Ad Tech) (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Node.js, and AWS, as well as your background in data engineering and ad tech. Use specific examples to demonstrate your skills in developing data pipelines and integrating CDP solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your previous experiences align with the responsibilities outlined in the job description, particularly your ability to lead data engineering projects and collaborate with engineering teams.
Showcase Relevant Projects: If you have worked on relevant projects, especially those involving audience data classification or identity tracking systems, be sure to mention them. Highlight your contributions and the impact these projects had on campaign performance or user targeting.
Highlight Soft Skills: In addition to technical skills, emphasise your leadership abilities and collaborative mindset. The role requires working closely with the engineering team, so showcasing your communication skills and teamwork experience can set you apart from other candidates.
How to prepare for a job interview at hubbul
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, Node.js, and AWS during the interview. Be prepared to discuss specific projects where you've implemented these technologies, especially in relation to data pipeline architecture.
✨Demonstrate Industry Knowledge
Since the role is in ad tech, it's crucial to show your understanding of the industry. Discuss any previous experience you have with DSPs or data companies, and how that knowledge can benefit the company's goals.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly around data integration and user targeting systems. Think of examples where you've successfully tackled challenges in data engineering.
✨Emphasise Collaboration Skills
This role involves working closely with the engineering team. Be ready to share examples of how you've collaborated with others in past roles, and how you can contribute to enhancing platform capabilities.
