At a Glance
- Tasks: Build and optimise data pipelines in a modern AWS-based platform.
- Company: Join an innovative tech company at the forefront of AI and data solutions.
- Benefits: Earn up to £45,000 plus a comprehensive benefits package.
- Other info: Remote work with opportunities for growth in a dynamic team.
- Why this job: Make a real impact while developing your skills in a collaborative environment.
- Qualifications: Experience in Python, SQL, and data pipeline development is essential.
The predicted salary is between 63000 - 77000 £ per year.
Junior Data Engineer up to £45,000 + Benefits
Remote (UK) This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.
THE COMPANY Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions.
With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities.
This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.
THE ROLE You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform.
Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include
- Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
- Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
- Building and maintaining data models using dbt to support analytics and reporting requirements.
- Supporting the development of AI-driven data products and semantic layers.
- Creating trusted datasets and business-facing data assets to support company-wide decision making.
YOUR SKILLS AND EXPERIENCE You will bring strong capability in
- Python development.
- Advanced SQL.
- Building and maintaining data pipelines.
- Data modelling and warehousing fundamentals.
- dbt or similar modern transformation frameworks
- Experience with AWS data services.
- Exposure to Kafka, Spark, streaming data, or modern BI tools.
- Interest in AI, analytics engineering, and data products
THE BENEFITS You will receive a salary of up to £45,000 depending on experience, along with a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV to
Molly Bird via the apply link on this page.
Junior Data Engineer in Leeds employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in Leeds
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We think you need these skills to ace Junior Data Engineer in Leeds
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!
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✨Brush Up on Your Statistics
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✨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.
