At a Glance
- Tasks: Join a dynamic team to build machine learning products that optimise pricing and sales.
- Company: HP's innovative Center of Excellence Pricing and Analytics organisation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Creative and fun team culture focused on innovation and valuable solutions.
- Why this job: Make a real impact with data and technology in a collaborative environment.
- Qualifications: 4+ years in data engineering, strong SQL skills, and proficiency in Python.
The predicted salary is between 60000 - 80000 £ 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 Senior 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.
Qualifications
- Typically 4+ years 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
- Dataiku
- Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.
Senior Data Engineer in Reading employer: Hewlett-Packard Company
At HP, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our Senior Data Engineer role offers the opportunity to collaborate with a diverse team of experts in a dynamic environment, where innovation and creativity are at the forefront of our mission. With a strong emphasis on employee growth, we provide ample opportunities for professional development and the chance to make a meaningful impact through cutting-edge technology and data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees at HP or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving data engineering and machine learning. This will help you stand out during interviews and show that you’re the real deal.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. Think about how you can relate your experience to the job description, especially around Agile methodologies and data processing.
✨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, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace Senior Data Engineer in Reading
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your data engineering experience, especially with Python and SQL, and don’t forget to mention any Agile methodologies you've used.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for data and technology. Share specific examples of how you've solved problems in previous roles and how you can contribute to our mission at StudySmarter.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially with tools like Apache Spark or Databricks.
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 us you're keen to join our team!
How to prepare for a job interview at Hewlett-Packard Company
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially in data modelling and integration. Be ready to discuss your experience with structured and unstructured data, and don’t forget to highlight your proficiency in Python and SQL. They’ll want to see how you can apply these skills in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Since the role is all about solving problems through data and technology, prepare some examples of challenges you've faced in previous roles. Talk about how you approached these issues, the solutions you implemented, and the impact they had. This will demonstrate your ability to think critically and innovate.
✨Get Agile Ready
Familiarise yourself with Agile methodologies, as they’re key to the day-to-day activities in this role. Be prepared to discuss how you’ve used Agile in past projects, and how it helped improve team collaboration and project outcomes. Showing that you can adapt to a dynamic environment will be a big plus.
✨Communicate Clearly
Excellent communication skills are a must for this position. 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 and show that you can work well in a collaborative team environment.
