Product Data Engineer

Product Data Engineer

Full-Time 28.54 - 28.54 £ / hour (est.) No working from home possible
Jonathan Lee Recruitment

At a Glance

  • Tasks: Transform data inputs into usable feature configurations and ensure accuracy for manufacturing.
  • Company: Dynamic team within a leading automotive company focused on innovation.
  • Benefits: Competitive hourly rate, opportunities for growth, and a collaborative work environment.
  • Other info: Exciting opportunity to contribute to key transformational changes in the company.
  • Why this job: Join a team that values high standards and continuous improvement in data management.
  • Qualifications: Experience in data analysis, VBA, SQL, and Tableau is essential.

The predicted salary is between 28.54 - 28.54 £ per hour.

Do you have a background in data analysis, experienced in VBA, SQL and Tableau? This company is seeking a Product Data Engineer to join a small, dynamic Feature Configuration team within Product Information. If high standards, clear problem-solving, and continuous improvement are the things that drive performance, the Product Data Engineer role offers exactly that, with strong KPIs focused on delivering 100% accurate data for downstream manufacturing use.

What You Will Do:

  • Consume directional inputs from Engineering, Marketing and other stakeholders, then turn them into usable feature configuration data.
  • Perform core data modelling to translate directional information into feature coding logic within the corporate system.
  • Carry out quality validation activities to ensure outputs are fully accurate and avoid non-buildable conditions being sent to manufacturing plants.
  • Support technical and business process improvements by identifying opportunities and helping implement changes across the direct team and wider department.
  • Manage workload effectively to continue delivering day-to-day requirements during a period of key transformational change.

What You Will Bring:

  • Competent data analysis skills.
  • Experience in VBA, SQL, and Tableau.

Product Data Engineer employer: Jonathan Lee Recruitment

Join a dynamic and innovative organisation as a Remote Project Manager, where your contributions will directly impact client success and operational excellence. With a competitive salary, comprehensive benefits, and a collaborative work culture, this role offers exceptional opportunities for professional growth and development. Embrace the chance to work from home or in Warwickshire, while being part of a forward-thinking team that values your expertise and fosters a rewarding environment.

Jonathan Lee Recruitment

Contact Details:

Jonathan Lee Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Data Engineer

Get Involved in Data Science Meetups

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Apply Directly through Our Website

When you find a suitable opening like Product Data Engineer at Jonathan Lee Recruitment, 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 Product Data Engineer

Communication Skills
SQL
Data Pipeline Development
Problem-Solving Skills
Python
API Integration
Data Engineering

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 Jonathan Lee Recruitment, 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 Jonathan Lee Recruitment. 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 Jonathan Lee Recruitment

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 Jonathan Lee Recruitment!

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.