At a Glance
- Tasks: Design and build data models to drive growth for Skin + Me and its brands.
- Company: Join a mission-driven start-up focused on transforming skincare.
- Benefits: 25 days holiday, equity options, and personal development support.
- Why this job: Make a real impact in a fast-paced, innovative environment.
- Qualifications: Experience in data engineering and a passion for analytics.
- Other info: Collaborate with top industry advisors and thrive in a dynamic culture.
The predicted salary is between 36000 - 60000 £ per year.
Skin + Me is a mission driven start-up with seriously big skin goals. We're on the lookout for a strategic and impact-driven Analytics Engineer to join our team. This hybrid role is based three days a week at our Paddington HQ (Monday, Tuesday, and Friday), with the flexibility to work remotely on the remaining two days.
About the role: In this role, you'll be the foundational technical pillar for Analytics Data Engineering across Skin + Me, Hair + Me, and Renew + Me. This is a high-leverage, IC role where you will be the primary architect of our data models and the guardian of our engineering standards. You'll be the "builder-in-chief," transforming raw data across commercial, operations, and marketing into the strategic engine that powers our growth. You will report directly to the Director of Data and act as a critical thought partner in scaling our technical landscape.
What you'll do:
- Take ownership of our dbt project: You will design, build and maintain the core data models that define our business logic, ensuring they are modular, tested, and high-performance.
- Build for scale: Design and implement data foundations that not only serve Skin + Me but are easily extensible across existing and future business units.
- Operational Excellence: You'll help to optimize warehouse performance (caching, clustering, query tuning) and ensure our pipelines are resilient with minimal downtime.
- Bridge the Gap to ML: Partner with the Director to productionise predictive models, ensuring our outputs are fed by robust, low-latency features.
- Champion Engineering Culture: Implement best practices across version control workflows, data contracts, and documentation.
How you'll work:
- Autonomy Challenge: You will be expected to execute with minimal technical guidance. More importantly, you will be expected to challenge the status quo—if a proposed architecture won't scale, you'll be the one to flag it and propose the alternative.
- Collaborative Impact: You'll work closely with the wider business to develop requirements for operational data changes, ensuring our analytical needs are "baked in" to upstream product shifts.
- Strategic Influence: While a technical IC, you will contribute directly to our medium-to-long-term data strategy, helping decide which technologies and processes will carry us through the next phase of growth.
- Innovation Automation: Actively champion and implement emerging technologies, including AI/ML and LLMs, to automate and optimize the data workflow—from ingestion to governance—driving efficiency and reducing the cost-to-serve for the data platform.
- Agility Resilience: Thrive in a fast-paced, entrepreneurial environment, demonstrating a high degree of adaptability and resilience in the face of shifting commercial priorities inherent to a high-growth DTC business.
Tech we're (currently) using: AWS RDS, AWS Athena/Presto, S3, AWS Glue, Superset, Airbyte, DBT, Python.
Why should you choose Skin + Me?
- A daily challenge – in a thrilling, entrepreneurial start-up environment, no two days will ever be the same.
- Make a difference – work within a revolutionary company that is focused on improving millions of lives.
- Significant equity – potentially life-changing value if you commit to our long-term mission.
- Serious commitment to growth – personal development is important to us and we'll make sure we support your growth, and give you broad experience across your role.
- Support network – the Skin + Me investors and advisors that you'll have the opportunity to work with have built some of the world's best consumer companies.
Benefits: 25 Days Holiday (+ all the usual)
Analytics Engineer in England employer: Skin + Me
Contact Detail:
Skin + Me Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in England
✨Tip Number 1
Network like a pro! Reach out to current employees at Skin + Me on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a mini portfolio or case study showcasing your data models and analytics projects. Bring it along to interviews to demonstrate your expertise.
✨Tip Number 3
Be ready to discuss your thought process. When they ask about your approach to building data models, share your strategies and how you tackle challenges—this shows you're the right fit for their innovative culture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Skin + Me team.
We think you need these skills to ace Analytics Engineer in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Engineer role. Highlight your experience with data models and any relevant tech you've worked with, like AWS or DBT. We want to see how you can fit into our mission-driven team!
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made in previous roles. Use metrics where possible to demonstrate how your work has driven growth or improved processes. We love seeing how you've been a 'builder-in-chief' in your previous positions!
Be Authentic: Let your personality shine through in your application. We’re looking for someone who can challenge the status quo and bring fresh ideas to the table. Don’t be afraid to show us what makes you unique and how you can contribute to our innovative culture.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our Skin + Me family!
How to prepare for a job interview at Skin + Me
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like AWS RDS, DBT, and Python. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at Skin + Me.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Highlight your ability to optimise performance and ensure resilience in data pipelines, as this is crucial for the Analytics Engineer position.
✨Understand the Business Goals
Research Skin + Me's mission and values. Be prepared to discuss how your work as an Analytics Engineer can directly contribute to their growth and operational excellence, showing that you’re not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding innovation and collaboration.