Junior Data Engineer

JR United Kingdom; Cambridge; Remote; GBP 30,000 - 50,000; Full time

Job summary

An innovative consultancy is seeking a Junior Data Engineer to join their dynamic team. This fully remote role offers the chance to work on impactful projects in the Banking and Video Gaming sectors. Ideal for recent graduates or those with up to three years of experience, the position encourages professional growth through weekly meet-ups in Cambridge. You'll build data pipelines, collaborate on machine learning initiatives, and engage in a culture of knowledge sharing. Join a forward-thinking environment where your contributions will make a real-world impact.

Benefits

Flexible working hours

Weekly in-person collaboration

Social trips

Fast-tracked growth opportunities

Qualifications

• 0-3 years of experience in Data Engineering or Data Science.
• Strong understanding of ETL processes and data structures.

Responsibilities

• Build and maintain scalable data pipelines and workflows.
• Collaborate with data scientists on ML/AI projects.

Skills

Python

SQL

Data Engineering

Machine Learning

Communication Skills

Education

Degree in Mathematics

Degree in Computer Science

Degree in Data Science

Tools

AWS

GCP

Azure

Databricks

PySpark

Job description

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Location: Fully Remote (UK-based applicants only, with optional weekly co-working in Cambridge)

Employment Type: Full-Time, Permanent

Sector: Data & AI Consultancy – Banking & Video Gaming

Salary: Competitive, based on experience

About the Role

Intellect Group is excited to be working with a specialist data consultancy based in Cambridge, known for delivering advanced solutions across the Banking and Video Gaming industries. Their services span Digital Transformation, Machine Learning & AI, Data Engineering, and Data Science, offering a truly dynamic environment for curious minds.

We're looking for a Junior Data Engineer to join this forward-thinking team. This is an ideal opportunity for a recent graduate or someone with up to three years’ industry experience who wants to rapidly develop their skills while working on impactful projects.

The role is fully remote, but the team encourages a weekly meet-up in Cambridge to support professional development, co-working, and collaboration.

Key Responsibilities

• Build and maintain scalable data pipelines and ETL workflows
• Assist in the design and implementation of cloud-based data architectures
• Collaborate with data scientists to support ML/AI project delivery
• Integrate and process data from APIs, databases, and flat files
• Write clean, reusable code to automate data workflows and ensure data integrity
• Take part in regular knowledge sharing and team learning sessions

Candidate Profile

• Degree in Mathematics, Physics, Computer Science, Artificial Intelligence, Data Science, or a related discipline
• 0–3 years’ experience as a Data Engineer or Data Scientist
• Proficiency in Python and SQL
• Solid understanding of data principles, structures, and ETL processes
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure)
• Strong communication skills and a proactive attitude
• UK-based with the option to attend weekly meet-ups in Cambridge

Nice to Have

• Databricks
• PySpark

These are not essential but will be highly beneficial in this role.

What’s On Offer

• Fully remote working with flexible hours
• Weekly in-person collaboration (optional) at the team’s Cambridge hub
• Frequent social trips – past destinations include Italy, The Peak District, and more
• Fast-tracked growth within a collaborative, highly skilled team
• Work on projects across two fast-paced industries with real-world impact