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For Companies At a Glance
- 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 major brands while shaping the future of ad tech.
- Qualifications: Strong experience in Python, Node.js, AWS, and ad tech industry knowledge required.
- Other info: This role offers a chance to build from scratch in an innovative environment.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
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
Head of Data Engineering (Ad Tech) employer: hubbul
Contact Detail:
hubbul Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering (Ad Tech)
✨Tip Number 1
Network with professionals in the ad tech industry. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like ours are looking for in a Head of Data Engineering.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source platforms. Highlighting your experience with Python, Node.js, and AWS in practical applications can set you apart from other candidates and demonstrate your hands-on expertise.
✨Tip Number 3
Familiarise yourself with the specific challenges and innovations in data engineering within the ad tech space. Understanding audience data classification and identity tracking systems will not only prepare you for interviews but also show your genuine interest in the role.
✨Tip Number 4
Prepare to discuss your leadership style and how you would approach building and optimising a data pipeline architecture. Be ready to share examples of past experiences where you've successfully led teams or projects, as this will be crucial for a Head of Data Engineering position.
We think you need these skills to ace Head of Data Engineering (Ad Tech)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Node.js, and AWS. Emphasise any previous roles in data engineering, especially within the ad tech industry, to demonstrate your suitability for the position.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience in developing data pipeline architectures and working with customer data platforms.
Showcase Relevant Projects: If you have worked on projects that involved audience data classification or cross-platform identity tracking, be sure to mention these. Providing specific examples of your contributions can set you apart from other candidates.
Highlight Leadership Experience: Since this is a Head of Data Engineering role, it's crucial to highlight any leadership experience you have. Discuss how you've led teams or projects in the past, focusing on your ability to influence product development and technology stack decisions.
How to prepare for a job interview at hubbul
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, Node.js, and AWS in detail. Highlight specific projects where you've designed and implemented data pipelines, as this will demonstrate your capability to lead the engineering team effectively.
✨Understand the Ad Tech Landscape
Familiarise yourself with the current trends and challenges in the ad tech industry. Being able to speak knowledgeably about audience data classification and identity tracking systems will show that you are not only technically proficient but also aware of the industry's nuances.
✨Emphasise Leadership and Collaboration Skills
As a Head of Data Engineering, you'll need to lead a team and collaborate closely with others. Prepare examples of how you've successfully led teams or projects in the past, focusing on your ability to enhance platform capabilities through teamwork.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the company's vision, the technology stack they use, and their future plans. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
