Junior Data Engineer

We are looking for a self-motivated, detail-oriented Junior Data Engineer to join our team. You will work on our data-driven web application, helping to build features that turn raw data into something useful for our customers.

This is a great opportunity for a recent graduate or early-career engineer to learn from a collaborative team, contribute to a live product from day one, and grow your skills across both data and web technologies in a fast-paced startup environment.

What You’ll Do

• Work with fellow data engineers and the sales team to understand client business and data requirements.
• Build and maintain data validation processes to keep the data shown to customers accurate and reliable.
• Work closely with the development team to design front-end components and help them understand client data requirements.
• Analyse retailer web pages - reading through HTML and JavaScript to identify data selectors, distinguish between server-rendered and dynamically loaded content, and locate extraction points.
• Troubleshoot and debug issues to keep our data-driven application running smoothly.
• Use agentic AI tools to help develop and automate team processes, reducing manual work and improving efficiency.
• Keep up with industry trends and bring new ideas back to the team.

Do you have experience in SQL?, Do you have a Bachelor’s degree?, Eebz builds digital shelf analytics tools that help businesses track and optimise how their products appear across online retailers. We are growing our team and looking for a motivated person to join us as we expand the platform., * Strong problem-solving and analytical thinking.

• Strong understanding of data analysis principles and validation techniques.
• Core understanding of programming fundamentals, with the ability to pick up new languages quickly.
• Solid working knowledge of SQL, including writing queries, joining and aggregating data, and using it as a tool for investigation.
• Comfortable reading and navigating HTML and JavaScript to identify page structure and data selectors.
• Clear communicator who works well in a team.

NICE TO HAVE

• A bachelor’s degree in Computer Science, Data Engineering or a related field.
• Familiarity with browser developer tools and web scraping concepts.
• Understanding of regex for pattern matching and text extraction., * Based within roughly a 30-minute commute of Windsor.
• Right to work in the United Kingdom.
• Fluent English (written and spoken)., * Describe a time you identified and solved a data or technical problem. What steps did you take and what was the outcome?.

Pulled from the full job description

• Company pension
• Private medical insurance
• Casual dress
• Company events, * Private medical insurance
• Company pension
• Hybrid working (1 day from home)
• Casual dress
• Regular company events
• Free access to local gym