Data Engineer

Intellect Group
Cambridge
9 months ago
Applications closed

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Data Engineer

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Data Engineer

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


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

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