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- Tasks: Lead the development of data pipelines and enhance platform capabilities.
- Company: Join a fast-growing video marketing platform revolutionising brand content distribution.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be part of a greenfield project with significant influence on technology decisions.
- Qualifications: Strong experience in Python, Node.js, AWS, and ad tech is preferred.
- Other info: This role offers a chance to shape the future of data engineering in a thriving startup.
The predicted salary is between 48000 - 72000 £ per year.
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. We Are Aspire Ltd are a Commited employer
Head of Data Engineering (Ad Tech) employer: We Are Aspire
Contact Detail:
We Are Aspire 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 in data engineering.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source platforms. This demonstrates your hands-on experience with Python, Node.js, and AWS, which are crucial for this role.
✨Tip Number 3
Familiarise yourself with the specific challenges faced by video marketing platforms. Understanding the nuances of audience data classification and identity tracking will give you an edge during interviews.
✨Tip Number 4
Prepare to discuss your previous experiences in data pipeline architecture and machine learning. Be ready to share specific examples of how you've optimised data processes in past roles.
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 data engineering, particularly in Python, Node.js, and AWS. Emphasise any previous roles in the ad tech industry and showcase relevant projects that demonstrate your skills in developing data pipelines and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your technical expertise but also conveys your passion for the ad tech industry. Discuss how your background aligns with the company's mission and how you can contribute to their growth and innovation.
Showcase Relevant Projects: If you have worked on specific projects related to data pipeline architecture or customer data platforms, include these in your application. Provide details about your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Leadership Experience: Since this role is for a Head of Data Engineering, it's crucial to highlight any leadership or team management experience you have. Discuss how you've led teams, mentored junior engineers, or contributed to strategic decisions in previous roles.
How to prepare for a job interview at We Are Aspire
✨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 data pipeline architectures or worked with machine learning, as this will demonstrate your technical expertise.
✨Understand the Ad Tech Landscape
Familiarise yourself with the current trends and challenges in the ad tech industry. Being able to discuss how your previous experiences relate to audience data classification and identity tracking will show that you are well-versed in the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data engineering. Practising how you would approach designing a data pipeline or integrating a Customer Data Platform can help you articulate your thought process clearly.
✨Emphasise Collaboration Skills
Since the role involves working closely with the engineering team, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to enhance platform capabilities.
