Harnham
Junior Data Engineer
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Junior Data Engineer
London | £40,000 - £44,000 | Hybrid
Looking to launch or accelerate your career in data engineering? This is an exciting opportunity to join a fast-growing technology business where data sits at the heart of decision-making. You'll gain hands-on experience with modern data tools, work alongside experienced engineers and data scientists, and have a genuine impact on how the organisation scales its data capabilities.
The Company
They are an innovative, technology-led business using data and engineering to improve customer experiences within a large and evolving market. With strong growth, significant investment, and a collaborative culture, they have built a reputation for combining cutting-edge technology with a clear customer focus.
Data plays a central role across the organisation, supporting teams from commercial and product functions through to operations and engineering. As they continue to scale, they are investing heavily in their data platform and looking for talented individuals to help drive that growth.
The Role
As a Junior Data Engineer, you will help build and maintain scalable data infrastructure while supporting teams across the business with reliable, high-quality data.
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Key responsibilities include:
- Developing and maintaining data pipelines to support business reporting, analytics, and operational decision-making.
- Working with modern data technologies including Python, SQL, BigQuery, dbt, Dagster, and Docker.
- Supporting the automation of data workflows and helping improve data accessibility across the organisation.
- Contributing to data quality initiatives and ensuring core datasets remain accurate and reliable.
- Collaborating with engineering, product, commercial, and analytics teams to deliver data solutions.
- Supporting machine learning operations and helping enable efficient workflows for data science projects.
- Participating in code reviews and contributing to engineering best practices.
- Researching and implementing improvements to the existing data stack as business requirements evolve.
Your Skills & Experience
- Strong Python and SQL skills demonstrated through academic, personal, or commercial projects.
- Passion for data engineering and a desire to build expertise in cloud technologies, databases, and modern data platforms.
- Understanding of data pipelines, ETL processes, or data modelling concepts.
- Strong problem-solving skills with a logical and analytical approach.
- Excellent communication skills with the ability to explain technical concepts clearly.
- Interest in automation, data quality, and scalable engineering solutions.
- Comfortable working in a fast-paced environment where priorities can evolve.
- Eagerness to learn new technologies and continuously develop technical skills.
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Exposure to tools such as BigQuery, dbt, Docker, Dagster, or cloud platforms would be beneficial but is not essential.
What They Offer
- Salary of £40,000 - £44,000
- 25 days annual leave plus bank holidays.
- Clear progression opportunities within a growing data and engineering function.
- Dedicated learning and development budget.
- Access to mentoring and ongoing professional development.
- Comprehensive wellbeing support and employee wellbeing initiatives.
- Enhanced family-friendly policies.
- Flexible, office-centric working environment in London.
- Regular social events and collaborative team culture.
How to Apply
If you're passionate about Python, SQL, and modern data engineering and are looking for a role where you can learn quickly and make a real impact, apply today to find out more.
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