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- Tasks: Lead the development of data pipeline architecture and integrations for audience data classification.
- Company: Join a fast-growing video marketing platform revolutionising digital advertising.
- Benefits: Enjoy a greenfield opportunity with significant influence over product development and technology decisions.
- 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 solid background in data engineering required.
- Other info: This is a contract role with a focus on ad tech and machine learning.
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/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/Head of Data Engineering - Contract
✨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 or creating your own projects that demonstrate your expertise in Python, Node.js, and AWS. This will not only enhance your portfolio but also give you practical examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the specific challenges and innovations in the ad tech space, particularly around audience data classification and Customer Data Platforms. Being well-versed in these topics will help you stand out as a knowledgeable candidate.
✨Tip Number 4
Prepare to discuss your previous experiences in leading data engineering projects, especially those that involved collaboration with engineering teams. Highlight your ability to influence product development and technology stack decisions, as this is crucial for the role.
We think you need these skills to ace Head of Data/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 development.
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.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
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 data pipeline architectures or worked with machine learning, as this will demonstrate your technical expertise.
✨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 qualified but also genuinely interested in the field.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of examples from your past experiences where you successfully tackled challenges related to data integration or pipeline optimisation, and be ready to explain your thought process.
✨Emphasise Collaboration Skills
Since the role involves working closely with the engineering team, be sure to highlight your collaboration skills. Share examples of how you've effectively communicated and worked with cross-functional teams to enhance platform capabilities or drive project success.
