Data Engineer

Data Engineer

Full-Time 30000 - 50000 £ / year (est.) No working from home possible
Fresha

At a Glance

  • Tasks: Design and maintain data pipelines to support our beauty marketplace.
  • Company: Join Fresha, the top platform in the beauty industry.
  • Benefits: Enjoy flexible hours, competitive pay, and a vibrant work culture.
  • Other info: Great opportunities for growth in a fast-paced environment.
  • Why this job: Be part of a team that transforms the beauty experience with data.
  • Qualifications: Experience in data engineering and a passion for analytics.

The predicted salary is between 30000 - 50000 £ per year.

About Fresha

Fresha is the leading marketplace platform for beauty.

Data Engineer employer: Fresha

Fresha is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the beauty industry. With a strong focus on employee growth, we provide ample opportunities for professional development and career advancement, alongside competitive benefits that support work-life balance. Join us in a vibrant location where your contributions will make a meaningful impact on the future of beauty services.

Fresha

Contact Details:

Fresha Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

Tip Number 1

Network like a pro! Reach out to people in the beauty tech industry, especially those working at Fresha. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Prepare a portfolio or a project that showcases your data engineering prowess. When you get the chance to chat with someone from Fresha, having tangible examples of your work can really set you apart.

Tip Number 3

Stay updated on industry trends! Follow blogs, podcasts, and news related to data engineering and the beauty marketplace. This knowledge can help you impress during interviews and show that you're genuinely interested in the field.

Tip Number 4

Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows us that you're keen on joining the team at Fresha, which is always a bonus!

We think you need these skills to ace Data Engineer

Data Modelling
ETL Processes
SQL
Python
Data Warehousing
Big Data Technologies
Cloud Computing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight relevant skills and experiences that match what we’re looking for at Fresha. A personalised CV shows us you’re genuinely interested!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for the Data Engineer position. Share your passion for data and how you can contribute to our team at Fresha.

Showcase Your Projects:If you’ve worked on any cool data projects, don’t hold back! Include links or descriptions in your application. We love seeing practical examples of your work and how you tackle challenges.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it’s super straightforward!

How to prepare for a job interview at Fresha

Know Your Data Tools

Make sure you’re familiar with the data tools and technologies mentioned in the job description. If Fresha uses specific platforms or languages, brush up on them. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.

Showcase Your Problem-Solving Skills

Prepare to discuss past projects where you tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate how you approach problem-solving, which is crucial for a Data Engineer role.

Understand the Business

Research Fresha’s business model and how data plays a role in their success. Understanding their marketplace platform for beauty will allow you to tailor your answers and show genuine interest in how you can contribute to their goals.

Ask Insightful Questions

Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, data challenges they face, or future projects. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.