At a Glance
- Tasks: Develop and maintain data solutions that drive our business success.
- Company: Join END., a fast-growing tech-led retailer in the fashion industry.
- Benefits: 30 days holiday, birthday off, generous discounts, and career progression opportunities.
- Other info: Collaborative culture focused on excellence and customer satisfaction.
- Why this job: Be part of a dynamic team shaping the future of luxury retail with cutting-edge technology.
- Qualifications: Experience in data languages and tools; degree in Data Science or related field.
The predicted salary is between 49500 - 60500 £ per year.
Recognised as one of the fastest growing Companies in the UK, it’s a really exciting time to be joining END.
If you’re positive, passionate and dedicated and want to be part of our future success this could be the role for you.
LEAD DATA ENGINEER – WASHINGTON TYNE & WEAROver the last 20 years, END. has evolved into a technology led retailer that provides luxury and contemporary apparel and exclusive sneaker drops to a global audience.
One of the most influential, forward-thinking and inspirational fashion companies in the world, we have fresh products hitting our website daily and our service never stops.
END. prides itself on delivering a first-class customer experience, which has underpinned our success.
With over 2 million customers we deliver to over 80 countries around the world and our online business is complimented by our industry leading retail stores in Newcastle, Glasgow, London & Milan.
The Data Engineer is responsible for the development, integration, and maintenance of data solutions that align with the company’s business objectives.
This role requires a proactive approach to designing and implementing software within the company’s Data Warehouse platform, ensuring that all technical solutions are efficient, secure, and effectively meet stakeholder requirements.
What you’ll be doing: Key responsibilities Proficiency in data operation languages such as SQL, Python, Scala and R.
- Big
- Data
Technologies: Experience like Microsoft Fabric, Microsoft Synapse, Spark, Kafka and Familiarity with database management systems (eg: SQL, Postgre SQ)Data Integration tools: Knowledge of data integration and ETL tools, such as Talend, Informatica, or Apache Ni Fi2.
Analytical skills: Strong problem- solving and analytical skills to manage and interpret large datasets.
Experience working with data-operations teams.
What you’ll be able to demonstrate: Skills and experience D365 F&O Experience.
Demonstrable experience in an e-commerce retailer or supply chain environment.
Educational background: A bachelor's degree in Data Science, Business Intelligence, Science or related field.
What we can offer you:30 days holiday (including bank holidays)Birthday day off Company pension scheme Generous staff discount Access to Employee Assistance Programme Registered access to Healthcare Benefits provider Opportunities for professional development and career progression Our core values underpin everything we do as a business.
We always put our customers first, are passionate and dedicated and strive for excellence.
To achieve this, we are positive and collaborative and keep it simple.
If you have what it takes to be part of our future success, we want to hear from you.
Please note - for the successful candidate, any employment is conditional on you having the right to work in the UK in the role in which you are employed.
Type of employment: Permanent, full-time
Data Engineer in Pulborough employer: END CLOTHING
END. is an exceptional employer that fosters a vibrant work culture rooted in a shared passion for fashion and community. Located in London, our team enjoys flexible working arrangements, generous holiday allowances, and numerous professional development opportunities, all while contributing to a dynamic and innovative retail environment. With a commitment to employee well-being and growth, END. stands out as a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Pulborough
✨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 END CLOTHING!
✨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 END CLOTHING.
✨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 END CLOTHING.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at END CLOTHING, 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 Pulborough
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 END CLOTHING, 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 END CLOTHING. 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 END CLOTHING
✨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 END CLOTHING!
✨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.
