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- Tasks: Lead the development of data pipelines and enhance platform capabilities in a fast-paced environment.
- Company: Join a dynamic video marketing platform revolutionising digital advertising for top brands.
- Benefits: Enjoy a greenfield opportunity with significant influence and potential for remote work.
- Why this job: Make a direct impact on campaign performance while shaping the future of ad tech.
- Qualifications: Strong experience in Python, Node.js, AWS, and a background in data engineering is essential.
- Other info: This role is perfect for those passionate about data and innovation in the ad tech industry.
The predicted salary is between 43200 - 72000 £ per year.
Get AI-powered advice on this job and more exclusive features. Job Title: Head of Data Engineering (Ad Tech) 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. 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. 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. Work with first-party data integration and identity resolution platforms. Collaborate closely with the engineering team to enhance platform capabilities. 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) 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. 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. 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. Work with first-party data integration and identity resolution platforms. Collaborate closely with the engineering team to enhance platform capabilities. 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. 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 Employment type Contract Job function Analyst, Information Technology, and Marketing Industries Data Infrastructure and Analytics, Technology, Information and Internet, and Technology, Information and Media Get notified about new Head of Engineering jobs in London, England, United Kingdom . Vice President of Engineering – ThriveCart We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #
Head of Data Engineering (Contract) employer: hubbul
Contact Detail:
hubbul Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering (Contract)
✨Tip Number 1
Familiarise yourself with the latest trends in ad tech and data engineering. Understanding the current landscape will not only help you during interviews but also demonstrate your passion for the industry.
✨Tip Number 2
Network with professionals in the ad tech space, especially those who have experience in data engineering roles. Attend industry meetups or webinars to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives related to data pipelines or machine learning. This hands-on experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've optimised data architectures in previous roles. Being able to articulate your impact on past projects will highlight your suitability for this leadership position.
We think you need these skills to ace Head of Data Engineering (Contract)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, particularly in ad tech. Emphasise your skills in Python, Node.js, and AWS, as well as any relevant machine learning exposure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the ad tech industry. Mention specific projects or achievements that demonstrate your ability to lead data pipeline architecture.
Showcase Relevant Experience: In your application, provide examples of past work where you designed and implemented data pipelines or integrated Customer Data Platforms. Highlight your collaborative efforts with engineering teams to enhance platform capabilities.
Research the Company: Familiarise yourself with the company's mission and values. Understanding their approach to video marketing and audience intelligence will help you align your application with their goals.
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 designed or optimised data pipelines, as this will demonstrate your hands-on skills and understanding of the technologies relevant to the role.
✨Understand the Ad Tech Landscape
Familiarise yourself with the ad tech industry, particularly DSPs and data companies. Being able to speak knowledgeably about current trends and challenges in the sector will show that you are not only technically proficient but also aware of the business context.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of examples where you've had to troubleshoot data pipeline issues or implement innovative solutions, and be ready to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves working closely with the engineering team, highlight your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to enhance platform capabilities or drive project success.
