Data Engineer

Job Title: Mid-Level Data Engineer

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, dependent on experience

Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match.

About the Role

Intellect Group is delighted to be recruiting on behalf of a specialist data consultancy based in Cambridge, renowned for delivering high-impact solutions across the Banking and Video Gaming sectors. Their areas of expertise include Digital Transformation, Machine Learning & AI, Data Engineering, and Data Science.

As they continue to grow, they are now looking for a Mid-Level Data Engineer to join their close-knit team. This is a fantastic opportunity for a technically strong and motivated individual with a few years of experience under their belt, who’s ready to take ownership of their work, contribute to complex projects, and work directly with clients in a variety of industries.

This role is fully remote, with the option of joining the team once a week in Cambridge for collaborative working and professional development.

Key Responsibilities

• Design, build and optimise scalable and robust data pipelines and architectures
• Develop and maintain ETL workflows using modern tooling
• Contribute to solution design and technical delivery across multiple client projects
• Collaborate closely with data scientists, analysts, and consultants to support ML/AI deployment
• Integrate data from a variety of cloud and on-premise sources
• Participate in internal code reviews, architecture discussions, and knowledge sharing
• Engage with clients to understand requirements and translate them into technical solutions

Candidate Profile

• 3–7 years of experience as a Data Engineer (or in a similar role)
• Strong programming skills in Python and working knowledge of SQL
• Solid understanding of data modelling, data warehousing, and ETL best practices
• Exposure to both AWS and Google Cloud Platform (GCP)
• Comfortable working independently and collaborating within a distributed team
• Excellent communication and stakeholder engagement skills
• UK-based with the option to join weekly co-working days in Cambridge

Nice to Have

• Experience working within a consultancy or client-facing environment
• Familiarity with tools and frameworks such as:
• Databricks
• PySpark
• Pandas
• Airflow or dbt
• Experience deploying solutions using cloud-native services (e.g., BigQuery, AWS Glue, S3, Lambda)

What’s On Offer

• Fully remote working with the flexibility to work from anywhere in the UK
• Optional weekly in-person collaboration in Cambridge
• Frequent team socials and company trips – previous destinations include Italy and the Peak District
• 6% pension contribution
• Friendly, talented team culture with a strong emphasis on knowledge-sharing
• Exposure to cutting-edge data projects across highly dynamic sectors