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- Tasks: Lead the development of audience intelligence and targeting infrastructure in digital advertising.
- Company: Join a fast-growing, innovative ad tech company making waves in digital marketing.
- Benefits: Enjoy flexible working options and a chance to shape impactful campaigns.
- Why this job: Make a direct impact on campaign performance for world-renowned brands while innovating in data engineering.
- Qualifications: 5+ years in data engineering, strong programming skills, and experience with ML/AI integration required.
- Other info: We are a Disability Confident Committed employer, promoting inclusivity in the workplace.
The predicted salary is between 43200 - 72000 £ per year.
Head of Data Engineering 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. As Head of Data Engineering, you\’ll sit at the intersection of data, strategy, and technology. Your mission: to design and manage the systems that power audience targeting across a video advertising platform. Audience Data Infrastructure : Build and evolve the architecture for ingesting, storing, and activating digital audiences across publisher and SSP networks. Data Pipelines : Design robust pipelines to process real-time and historical data for audience segmentation. Identity Resolution : Lead the integration of identity resolution solutions to unify first- and third-party data sources. AI/ML Integration : Apply machine learning models to enhance audience classification and predictive targeting. Partner with AdOps, Sales, and Strategy teams to align data capabilities with campaign goals. Drive the shift from cookie-based targeting to contextual and outcome-driven models. 5+ years in data engineering or programmatic media, ideally within ad tech, SSPs, or media agencies. ~ Proven experience with identity resolution and customer data integration (e.g., Strong programming skills in Python or similar languages. ~ Experience applying ML/AI for segmentation or targeting. ~ We Are Aspire Ltd are a Disability Confident Commited employer #
Director of Data Engineering employer: We Are Aspire
Contact Detail:
We Are Aspire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Data Engineering
✨Tip Number 1
Network with professionals in the ad tech industry, especially those who have experience in data engineering. Attend relevant meetups or conferences to connect with potential colleagues and learn about the latest trends in audience intelligence.
✨Tip Number 2
Showcase your technical skills by contributing to open-source projects or creating your own data engineering projects. This will not only enhance your portfolio but also demonstrate your hands-on experience with programming languages like Python and machine learning applications.
✨Tip Number 3
Familiarise yourself with the latest advancements in identity resolution and audience targeting technologies. Being knowledgeable about these topics will help you engage in meaningful conversations during interviews and show your passion for the role.
✨Tip Number 4
Prepare to discuss how you've successfully collaborated with cross-functional teams in previous roles. Highlight specific examples where your data engineering efforts directly contributed to campaign performance or strategic goals, as this aligns closely with the responsibilities of the position.
We think you need these skills to ace Director of Data Engineering
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Head of Data Engineering position. Understand the key responsibilities and required skills, especially in data engineering, identity resolution, and AI/ML integration.
Tailor Your CV: Customise your CV to highlight relevant experience in data engineering, particularly in ad tech or similar fields. Emphasise your programming skills in Python and any experience with machine learning applications.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background aligns with the company's mission. Mention specific projects where you've successfully implemented data solutions or improved campaign performance.
Highlight Collaboration Skills: Since the role involves partnering with various teams, make sure to include examples of how you've effectively collaborated with other departments, such as AdOps or Sales, to achieve common goals.
How to prepare for a job interview at We Are Aspire
✨Showcase Your Technical Expertise
As a candidate for the Director of Data Engineering role, it's crucial to demonstrate your technical skills. Be prepared to discuss your experience with data architecture, programming languages like Python, and any relevant projects where you've built or managed data pipelines.
✨Highlight Leadership Experience
This position requires strong leadership capabilities. Share examples of how you've led teams in previous roles, particularly in data engineering or ad tech environments. Discuss how you’ve driven projects from conception to execution and how you’ve collaborated with cross-functional teams.
✨Discuss AI/ML Applications
Since the role involves applying machine learning models, be ready to talk about your experience with AI/ML integration. Provide specific examples of how you've used these technologies to enhance audience targeting or segmentation in past projects.
✨Understand Industry Trends
Familiarise yourself with current trends in digital advertising, especially regarding audience targeting and the shift from cookie-based methods. Being able to discuss these trends will show your passion for the industry and your readiness to lead innovative solutions.
