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- Tasks: Build and implement data infrastructure and pipelines to centralise and curate data.
- Company: Join Harrods, a leading luxury department store with a vibrant culture.
- Benefits: Enjoy flexible working, 25 days holiday, birthday off, and up to 33% in-store discount.
- Other info: We celebrate diversity and encourage applicants from all backgrounds.
- Why this job: Make an impact by transforming data into insights in a dynamic environment.
- Qualifications: Experience in Python, PySpark, and data pipeline development is essential.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a Data Engineer to join our team here at Harrods. As the Data Engineer, you will be responsible for building, testing and implementing data infrastructure and pipelines that collect, centralize, and curate data from multiple internal and external data sources. You may be required to be part of an on-call rota for out of hours assistance including weekends.
About the Role
The Data Engineer will be responsible for:
- Building, testing and implementing data infrastructure and pipelines that collect, centralize, and curate data from multiple internal and external data sources.
- Performing data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.
- Implementing strategies directed at acquiring data and promoting the development of new insights across the business.
- Monitoring existing metrics, analysing data, and leading partnerships with teams to identify and implement system and process improvements.
- Administering, monitoring, troubleshooting, analysing and resolving technical problems arising from technical development.
About You
You will have experience in:
- Database management, software engineering, deployment of machine learning models, and coordinating data access, preparation and feature engineering.
- Using Python and PySpark to build data pipelines (preferably using Python and PySpark).
- Databricks and using Git and CI/CD.
- Integrating Fabric with Azure services (e.g., ADLS, Synapse, Power BI).
- Building and managing Fabric Dataflows and Data Pipelines for ingestion and transformation.
- Using DBT (Data Build Tool) for data modelling and transformation, integrated with Fabric environments.
About Us
Harrods is one of the world’s leading luxury department stores and we’re becoming a destination for top designers and the most sought-after brands from around the globe. Our combined mission is to make visiting our iconic Knightsbridge store one of the world’s most inspiring shopping experiences.
Our Promise to You
Help us make the impossible possible for our customers and we’ll do something remarkable for you. We offer a friendly environment to inspire your best work, along with abundant opportunities and support to build an exceptional career across the varied specialisms of our business. In return, you’ll receive an excellent benefits package, including a company pension, flexible working, 25 days’ holiday, and your birthday off, up to 33% in-store discount (including across our food hall and restaurants), and a season ticket loan.
Uniquely You
Whilst our job adverts outline the ideal qualities, skills, and prior experience for the role, we believe in the potential for growth and value individual strengths. If you can demonstrate the majority of skills and strong experience to thrive in this role, we encourage you to apply. At Harrods, we believe the personality and authenticity of our people set us apart. We celebrate and invite applications from all cultures, backgrounds, tastes, and experiences and are proud of our culture where people from all walks of life can grow and thrive. What makes you unique makes us exceptional.
If you want to know more about our people and our culture, search #TogetherHarrods on LinkedIn, Facebook or follow us on Instagram @togetherharrods.
Additional Information
Time Type: Permanent
Department: IT Data Analytics
Data Engineer employer: Harrods Careers
Contact Detail:
Harrods Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Harrods. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Python, PySpark, or data pipelines. Let them see your passion and expertise in action.
✨Prepare for Technical Questions
Brush up on your technical skills and be ready to tackle questions about database management and machine learning models. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It shows you're genuinely interested in joining the Harrods team and makes it easier for us to find your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, PySpark, and any relevant data pipeline projects. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your database management and software engineering skills. If you've integrated Fabric with Azure services, let us know! We love seeing real-world applications of your expertise.
Be Clear and Concise: When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, so make sure to express your passion for data engineering and how you can contribute to our team.
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’re considered for the role. Plus, it shows you're keen on joining our amazing team at Harrods!
How to prepare for a job interview at Harrods Careers
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PySpark, and Databricks. Brush up on your experience with building data pipelines and integrating Fabric with Azure services, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've troubleshot data-related issues or implemented system improvements. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Communicate Clearly
Since excellent interpersonal and communication skills are key for this role, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to collaborate effectively with non-technical team members.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, or how they measure success. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.