At a Glance
- Tasks: Join our team to build machine learning products that optimise pricing and sales.
- Company: Be part of HP's innovative Center of Excellence Pricing and Analytics.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work with a diverse team dedicated to innovation and creative solutions.
- Why this job: Make a real impact with data and technology in a dynamic, collaborative environment.
- Qualifications: MSc graduate/intern with experience in data engineering and programming skills.
The predicted salary is between 36000 - 60000 £ per year.
In the Center of Excellence Pricing and Analytics organization, our mission is to deliver impact by building machine learning products to optimize pricing, sales, marketing, and inventory investments and provide guidance to HP\'s commercial sales organizations. The organization consists of a diverse global team of economists, statisticians, data scientists, data engineers, software engineers, DevOps, and MLOps engineers, who are pushing the innovation frontier to bring new insights to our business.
We are looking for a Data Engineer to join our data engineering team. If you are passionate about solving problems and making improvements through data and technology, we are eager to talk to you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and is a self-motivated developer who also enjoys working in a team environment. Our people have a creative, innovative, fun, and collaborative attitude, and are dedicated to creating new and valuable solutions for HP.
Requirements
- Typically an MSc graduate/intern with 1 year of experience in software or data engineering.
- Extensive experience in data modeling, data integration, and processing of structured and unstructured data.
- Proficient in one or more programming languages (Python preferred).
- Strong SQL proficiency (experience with NoSQL – advantage).
- Experienced with Apache Spark
- Excellent communication skills; mastery in English and local language.
- Ability to effectively communicate product architectures, design and change proposals.
Additional Preferred Qualifications / Advantages
- Databricks
- Pandas
- Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.
L1 Data Engineer in Reading employer: H&P
At HP, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our Center of Excellence Pricing and Analytics team offers unparalleled opportunities for professional growth, collaboration, and innovation, allowing you to make a meaningful impact through cutting-edge data engineering. With a focus on creativity and teamwork, we empower our employees to thrive in a dynamic environment while enjoying the benefits of working with a diverse global team dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land L1 Data Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data modelling and processing. This is your chance to demonstrate your expertise in Python and SQL, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and be ready to discuss how you've applied them in past projects. We want to see your problem-solving skills in action, so come armed with examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace L1 Data Engineer in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data engineering experience, especially with Python and SQL, to show us you’re the right fit for our team.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our mission. Share specific examples of your work with data modeling or integration to grab our attention!
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially if they involve machine learning or data processing.
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 from our team!
How to prepare for a job interview at H&P
✨Know Your Data Engineering Basics
Make sure you brush up on your data modeling and integration skills. Be ready to discuss how you've handled structured and unstructured data in the past. They’ll likely want to hear about specific projects where you’ve applied your knowledge, so have a couple of examples ready.
✨Show Off Your Programming Skills
Since Python is preferred, be prepared to talk about your experience with it. You might even get asked to solve a coding problem on the spot, so practice some common data engineering challenges beforehand. Also, don’t forget to mention any experience with SQL and NoSQL databases!
✨Emphasise Your Team Spirit
This role values collaboration, so highlight your ability to work well in a team. Share examples of how you’ve contributed to group projects or how you’ve used Agile methodologies to improve team efficiency. They want to see that you can thrive in a dynamic environment.
✨Communicate Clearly and Confidently
Strong communication skills are a must. Practice explaining complex technical concepts in simple terms, as you may need to communicate with non-technical stakeholders. Being able to articulate your ideas clearly will set you apart from other candidates.
