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- Tasks: Design and manage data systems to enhance marketing performance and ROI.
- Company: Join Booksy, a global leader in the beauty marketplace, empowering entrepreneurs and customers alike.
- Benefits: Enjoy flexible hours, remote work options, and a supportive team environment.
- Why this job: Be part of a fast-growing company where you can thrive in a dynamic, creative setting.
- Qualifications: Strong SQL skills, experience with GCP, and a passion for data engineering required.
- Other info: Diversity and inclusion are core values; we welcome applicants from all backgrounds.
The predicted salary is between 48000 - 72000 £ per year.
A career at Booksy means you’re part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting their customers in arranging \’me time\’ moments, we’re in the business of helping people thrive and feel fantastic.
Working in an ever-changing, scale-up environment where things are messy and resources are limited isn\’t for everyone. If you thrive in a stable environment with big budgets, clear processes, and structures, then we’re probably not the right fit. However, if you love bringing order to chaos, inventively solving problems, and carving your own path within ambiguity, then you’re likely to love it here.
As a Marketing Data Engineering Lead (Staff Engineer) reporting to the Head of Data Engineering in our Data Engineering team, your purpose will be to design and own the technical foundation that proves and improves marketing ROI at Booksy. You’ll transform complex data from ad platforms, CRM, and automation tools into a trusted marketing data mart — the single source of truth for measuring performance, enabling attribution, and powering personalized campaigns that fuel our growth.
- Proven expertise in building and maintaining data pipelines ingesting complex marketing and advertising platform APIs (Google Ads, Meta Ads, TikTok, AppsFlyer, Iterable, etc.).
- Strong SQL skills and mastery of Dataform, with experience designing clean, performant, and modular data models supporting attribution and funnel analysis.
- Deep experience with Google Cloud Platform (GCP), particularly BigQuery, including cost- and performance-optimized schema design.
- Advanced knowledge of Customer Data Platforms (Segment.io), including event stream management, identity resolution, and building a “Golden Profile.”
- Hands-on experience designing and implementing Reverse ETL pipelines (e.g., with Census or Hightouch) to activate customer data in marketing systems like Iterable or CRMs.
- Strong collaboration skills, able to partner with architects and stakeholders to translate business needs into scalable data systems.
- Experience mentoring engineers and setting high standards for data quality, testing, and documentation.
At a minimum, we require conversational English language skills. Why? English is our company language and is used for all business-wide communications, so you need to be able to speak English to be an integrated part of Booksy.
- The opportunity to be part of something big — the world’s fastest-growing beauty marketplace.
- Flexible working hours and the opportunity to work remotely within your country.
- Work in a welcoming team always ready to help.
- Opportunity to develop in an international environment — we have teams in 6 countries.
- Additional benefits that may vary depending on location.
Our Diversity and Inclusion Commitment:
We operate in a highly creative and diverse industry, and we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can support you.
Please submit your application and CV in English to ensure it is reviewed successfully.
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Staff Data Engineer employer: Booksy Inc.
Contact Detail:
Booksy Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Google Cloud Platform, BigQuery, and Dataform. Having hands-on experience or projects that showcase your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Demonstrate your problem-solving abilities by preparing examples of how you've successfully navigated ambiguity in past roles. Be ready to discuss specific challenges you faced and the innovative solutions you implemented to bring order to chaos.
✨Tip Number 3
Highlight your collaboration skills by sharing experiences where you worked closely with stakeholders or cross-functional teams. Emphasising your ability to translate business needs into technical solutions will resonate well with the hiring team.
✨Tip Number 4
Prepare to discuss your mentoring experience and how you've contributed to setting high standards for data quality and documentation. This is crucial for a role that involves leading and guiding other engineers in the team.
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Staff Data Engineer role. Focus on your expertise in building data pipelines, SQL proficiency, and experience with Google Cloud Platform.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how you can contribute to Booksy's mission. Mention specific projects where you've solved complex problems or improved data processes.
Showcase Collaboration Skills: In your application, emphasise your ability to work with architects and stakeholders. Provide examples of how you've translated business needs into scalable data systems, as this is crucial for the role.
Proofread for Clarity: Before submitting your application, thoroughly proofread your documents. Ensure that your English is clear and professional, as strong communication skills are essential for this position.
How to prepare for a job interview at Booksy Inc.
✨Show Your Problem-Solving Skills
Since the role involves bringing order to chaos, be prepared to discuss specific examples where you've successfully solved complex problems in a messy environment. Highlight your creativity and resourcefulness.
✨Demonstrate Technical Expertise
Make sure to showcase your strong SQL skills and experience with Dataform. Be ready to explain how you've designed data models that support attribution and funnel analysis, as this is crucial for the role.
✨Familiarise Yourself with GCP
As the position requires deep experience with Google Cloud Platform, particularly BigQuery, brush up on cost-optimised schema design and be ready to discuss your hands-on experience with it during the interview.
✨Emphasise Collaboration and Mentoring
The ability to collaborate with architects and stakeholders is key. Prepare to share experiences where you've partnered with others to translate business needs into scalable data systems, and mention any mentoring roles you've taken on.
