At a Glance
- Tasks: Build and maintain cloud infrastructure for data at Booksy, enabling data engineering and analytics teams.
- Company: Join a rapidly scaling international marketplace that empowers entrepreneurs and creative communities.
- Benefits: Remote-first work culture, welcoming team, and opportunities for international development.
- Other info: Diverse and inclusive workplace committed to supporting all backgrounds.
- Why this job: Make a real impact on data ecosystems while solving problems in a dynamic environment.
- Qualifications: 4+ years in data platform or DevOps, strong Python and SQL skills, and Terraform experience.
The predicted salary is between 60000 - 80000 £ per year.
From empowering entrepreneurs to build successful businesses, to supporting their clients to arrange 'me time' moments, we’re in the business of elevating people - helping them to thrive and feel fantastic. Lifting others up can be hard, heavy work, and we passionately believe that the sense of purpose and personal satisfaction this brings are worth it.
What started in Poland is now an international, cloud-based marketplace that’s scaling rapidly. We bring independent business owners together with their customers on a product that connects creative communities and opens up worlds of opportunities.
For our providers, our products offer services for getting booked, paid, and building a loyal client base. For their clients, we’re where they can find their favourite spots, discover new businesses and book appointments in an instant.
Working in a rapidly growing, ever-changing scale-up comes with its own set of opportunities and challenges. If you prefer a stable environment, with clear processes and structures then, we've got to be honest, you won't always find that here. However, if you enjoy inventively solving problems with others, helping create clarity when things get confusing, and prioritising your own path within ambiguity, then the chances are that you'll love the opportunities available to grow your career at Booksy.
The people you’ll like to work with and things you'll enjoy impacting:
As a Data Platform Engineer reporting to the Data Platform Engineering Manager in our Data & Analytics - Data Platform Engineering team, your purpose will be to build and maintain the foundational cloud infrastructure that powers data at Booksy. You’ll act as an enabler for our data engineering and analytics teams, prioritizing reliability, automation, and self-service. From developing GCP infrastructure using Terraform to optimizing CI/CD workflows and managing our Cloud Composer/Airflow scheduler, you will directly influence how safely and efficiently we scale our data ecosystem.
Requirements
- Foundational Platform Experience: 4+ years of hands-on experience in data platform, infrastructure, SRE, or backend/DevOps engineering.
- Infrastructure as Code (IaC): Solid skills building and maintaining Terraform modules (Terragrunt is a plus) on Google Cloud Platform or another major cloud vendor.
- Software & Orchestration Skills: Robust Python scripting abilities, strong SQL skills, and experience managing containerized environments (Docker, Kubernetes/GKE).
- CI/CD Expertise: Practical experience designing and optimizing automated release pipelines using GitLab CI.
- English Fluency: At a minimum, we require professional English language skills (B2 level or higher).
It will also help you to have…
- Warehouse Administration: Experience administering Google BigQuery datasets, permissions, and performance.
- Modern Architecture Trends: Exposure to PySpark and open table formats like Apache Iceberg or Delta Lake.
- Emerging AI & Observability: Curiosity or experience with AI-assisted developer tools and LLM observability (such as Langfuse).
Benefits
Some of the benefits we offer are:
- We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. All we ask is that you're based in the country/region this role is advertised in.
- Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists.
- Work in a welcoming team which is always ready to help.
- Opportunity to develop in an international environment - we have teams in 6 countries.
Our Diversity and Inclusion Commitment:
We work in a highly creative and diverse industry so it goes without saying that 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 any accessibility needs or require reasonable adjustments during the interview process, please contact us at belonging@booksy.com, so we can best support you.
Kindly submit your application and CV in English to ensure it is successfully reviewed.
Data Platform Engineer employer: Booksy
At Booksy, we pride ourselves on being a remote-first company that fosters a dynamic and inclusive work culture, where every team member is empowered to thrive. With generous benefits such as 25 days of holiday, private medical cover, and a strong focus on employee wellbeing, we offer a supportive environment for professional growth and collaboration. Join us in a rapidly growing scale-up where your contributions directly impact our mission to help people feel great about themselves every day.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Booksy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Platform Engineer at Booksy.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Booksy.
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We think you need these skills to ace Data Platform Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Booksy, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Booksy. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Booksy
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Booksy!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
