Job Description

Junior Data Engineer
Location: Remote – 1 day per fortnight in Wilmslow office
Employment Type: Internship
Salary: £35K–£52K a year
PCD290144

Role Overview
Following recent investment, the organisation is looking to build out their data capabilities to be Best in Class. As such, exciting opportunity for a recent graduate who is passionate about data and eager to build a career in data engineering as part of our team. You’ll work alongside experienced engineers and analysts on a variety of projects, gaining hands-on experience with a modern data stack and contributing to both project-based and business-as-usual (BAU) work.

Key Responsibilities
• Support the development and maintenance of data pipelines and ETL/ELT processes.
• Assist in ingestion, transformation, and modelling of data for analytics and AI use cases.
• Help monitor and improve data quality and reliability across AI-enabled systems.
• Participate in the development and testing of new data solutions and improvements.
• Collaborate with analysts, engineers, and stakeholders to understand data requirements.
• Contribute to documentation and best practices across the data engineering function.
• Take ownership tasks and projects with guidance and support from senior team members.
• Support integration of AI technologies (e.g., generative AI, LLMs, machine learning APIs) into internal data workflows.
The Person
We’re looking for someone who’s curious, motivated, and passionate about working with data — whatever path you’ve taken to get here.
Whether you’ve recently graduated, completed a coding bootcamp, are self-taught, or are making a career change into tech, we want to hear from you.
You might be a good fit if you:
• Have a strong interest in data engineering, analytics, or AI.
• Enjoy solving problems and working with data and technology.
• Are eager to learn, take feedback on board, and grow your skills in a supportive environment.
• Can communicate clearly with both technical and non-technical people.
• Are comfortable working in a fast-moving, collaborative team juggling multiple priorities.
• Pay attention to detail and take pride in delivering quality work.
We value potential, attitude, and willingness to learn over having a “perfect” CV. If you’re excited by the opportunity and meet most of the criteria, we encourage you to apply — even if you don’t tick every box.
Skills and experience we’d love you to have… But if not? We’ll help you get there:
• Exposure to SQL and database concepts.
• Familiarity with Python or another programming language.
• Interest or experience in AI/ML concepts, even from coursework or personal projects.
• Understanding of data pipelines, ETL/ELT, or data warehousing.
• Awareness of cloud platforms (e.g., cloud platform, cloud platform, or cloud platform).
• Understanding of modern data tools (e.g., data transformation framework, workflow orchestration platform, cloud data warehouse, cloud data warehouse).
• Version control tools (e.g., Git).
What You’ll Gain
• Hands-on experience with a modern AI-enabled data stack in a real-world, production environment.
• The chance to contribute to real-world AI and machine learning projects.
• Exposure to tools and technologies used in deploying and supporting AI applications at scale.
• Exposure to a variety of projects, stakeholders, and business domains.
• Training and mentoring from experienced data engineers.