Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data pipelines while collaborating on exciting projects.
- Company: Join a leading data consultancy known for impactful solutions in banking and gaming.
- Benefits: Enjoy fully remote work, flexible hours, and a 6% pension contribution.
- Why this job: Be part of a close-knit team tackling cutting-edge data challenges with real-world impact.
- Qualifications: 3-7 years experience in data engineering, strong Python skills, and cloud platform exposure.
- Other info: Optional weekly co-working sessions in Cambridge for collaboration and growth.
The predicted salary is between 36000 - 60000 £ per year.
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
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.
- Design, build and optimise scalable and robust data pipelines and architectures
- 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
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) (BigQuery, AWS Glue, S3, Lambda)
Fully remote working with the flexibility to work from anywhere in the UK
6% pension contribution
Exposure to cutting-edge data projects across highly dynamic sectors
Senior Engineer, Data Engineering employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, Google Cloud Platform, and tools like BigQuery and AWS Glue. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those working in banking and video gaming sectors. Engaging in relevant online communities or attending industry meetups can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving data pipelines and machine learning deployments. Be ready to explain your role, the challenges faced, and how you contributed to the success of the project.
✨Tip Number 4
Showcase your ability to collaborate effectively by highlighting experiences where you've worked closely with data scientists or analysts. Emphasising teamwork and communication skills can demonstrate that you're a good fit for their close-knit team.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python, SQL, and cloud platforms like AWS and GCP. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the banking and video gaming sectors. Mention how your skills can contribute to the company's goals and projects.
Highlight Technical Skills: In your application, emphasise your technical skills, especially in data modelling, ETL processes, and any experience with tools like BigQuery or AWS Glue. This will demonstrate your capability to handle the responsibilities of the role.
Showcase Collaboration Experience: Since the role involves working closely with data scientists and analysts, include examples of past collaborative projects. Highlight your ability to communicate effectively and work as part of a team to achieve common goals.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in Python and SQL. Bring examples of past projects where you've designed and optimised data pipelines, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Company’s Focus
Research the company’s work in the Banking and Video Gaming sectors. Understanding their projects and challenges will allow you to tailor your responses and show how your skills can contribute to their goals.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with data scientists and analysts, think of examples where you've successfully collaborated on projects. Highlight your communication skills and ability to work in a team environment.
✨Familiarise Yourself with Cloud Technologies
Brush up on your knowledge of AWS and Google Cloud Platform, especially tools like BigQuery and AWS Glue. Being able to discuss your experience with these technologies will set you apart from other candidates.
