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.
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L1 Data Engineer in Reading employer: H&P
HP is an excellent employer that values innovation and customer satisfaction, offering a dynamic work culture in the vibrant setting of Greater London. Employees benefit from comprehensive training programs, opportunities for professional growth, and a supportive team environment that encourages collaboration and creativity. With a focus on employee well-being and a commitment to diversity, HP provides a rewarding workplace where you can make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land L1 Data Engineer in Reading
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like H&P when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like H&P.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like H&P.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through H&P’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace L1 Data Engineer in Reading
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at H&P, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at H&P aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at H&P
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
