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
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 theBankingandVideo Gamingsectors. Their areas of expertise includeDigital Transformation,Machine Learning & AI,Data Engineering, andData Science.
As they continue to grow, they are now looking for aMid-Level Data Engineerto 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 isfully remote, with the option of joining the team once a week inCambridgefor 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 inPythonand working knowledge ofSQL
- Solid understanding of data modelling, data warehousing, and ETL best practices
- Exposure to bothAWSandGoogle 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 aconsultancy or client-facing environment
- Familiarity with tools and frameworks such as:
- Databricks
- PySpark
- Pandas
- Airflowordbt
- 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 inCambridge
- Frequent team socials and company trips – previous destinations includeItalyand thePeak 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
