At a Glance
- Tasks: Deliver insights and manage data to support our multi-channel retail strategy.
- Company: Join The Fragrance Shop, the UK's leading independent fragrance retailer.
- Benefits: Enjoy flexible working, gym access, and generous staff discounts.
- Other info: Great career progression opportunities in a dynamic environment.
- Why this job: Be part of a vibrant team and make a real impact with cutting-edge technology.
- Qualifications: 2-3 years in data engineering, strong SQL and Python skills required.
The predicted salary is between 36000 - 60000 £ per year.
Company Overview Established 1994, The Fragrance Shop is the UK’s leading independent fragrance retailer, showcasing over 130 fragrance brands across 220 stores and online at www.thefragranceshop.co.uk. We are expanding and looking for a Data Engineer to join our growing and vibrant brand.
Role Overview An exciting opportunity to play a pivotal role delivering the latest technologies within an organisation that has adopted a multi‑channel retail strategy. The role is business‑focused, requiring a quick grasp of strategy and using technical expertise to support initiatives that underpin that strategy with efficiency, automation, quality and security at heart.
Key Responsibilities
- Provide robust insights, analytical reporting and interpretation of customer profiles and trends.
- Take responsibility for the company data warehouse and manage company data.
- Promote use of cutting‑edge tooling, frameworks and components to increase quality and reduce friction in data development.
- Maintain data standards, including adherence to the Data Protection Act and GDPR.
- Work with stakeholders internally and externally, creating procedures and managing data flows.
Required Experience & Skills
- 2–3 years in a data science or engineering role.
- BSc/MSc in Computer Science/Computing (or equivalent).
- Advanced SQL and Python proficiency.
- Proficiency in version control systems.
- Familiarity with APIs and RESTful services.
- Experience in Airflow, Prefect or similar workflow orchestrators.
- Experience building ETL pipelines.
- Ability to produce documentation to ISO 9001 standard.
- Strong understanding of modern code development practices.
- Solid knowledge of relational databases and data warehouse methodology.
- Experience with data modelling and structures.
- Excellent critical thinking and problem‑solving skills.
- Experience working with large and complex datasets.
- Preferred experience with SSRS, PowerBI and QlikView.
Person Specification
- A self‑starter with energy who consistently delivers high quality work.
- Passion for technology with in‑depth understanding of online‑based systems, tools and trends.
- Problem‑solving attitude is a must.
- Ability to operate independently against prioritised requirements while supporting the team.
- Capacity to manage several complex issues simultaneously and drive operations in the right direction.
- Calm under pressure, focused on end‑goal and not distracted.
- Willingness to be exposed to many technologies.
Benefits
- Work‑life balance with flexible working scheme – 15 work‑from‑home days a year, duvet days and flexible hours.
- Modern office in Trafford Park with great transport links and free onsite parking.
- Free onsite gym facilities before/after work or lunchtime.
- Generous staff discounts on a wide range of fabulous fragrances.
- Excellent progression and development opportunities – work with teams passionate about what they do.
Equal Opportunity Statement The Fragrance Shop is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Data Engineer in Stretford employer: The Fragrance Shop
The Fragrance Shop in Manchester is an excellent employer, offering a vibrant working environment that fosters creativity and collaboration. With flexible working arrangements and access to training in CRM platforms, employees are empowered to grow within a dynamic marketing team, making it a rewarding place for those seeking meaningful career development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Stretford
✨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 The Fragrance Shop!
✨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 Engineer at The Fragrance Shop.
✨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 The Fragrance Shop.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at The Fragrance Shop, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Stretford
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 The Fragrance Shop, 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 The Fragrance Shop. 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 The Fragrance Shop
✨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 The Fragrance Shop!
✨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.
