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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, weekly co-working options, team socials, and a 6% pension contribution.
- Why this job: Be part of a friendly team culture with exposure to cutting-edge data projects.
- Qualifications: 3-7 years as a Data Engineer, strong Python skills, and familiarity with cloud platforms.
- Other info: Optional in-person collaboration in Cambridge and opportunities for professional development.
The predicted salary is between 28800 - 48000 £ 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
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 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
Data Engineer employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as AWS, GCP, Databricks, and Airflow. Having hands-on experience or projects showcasing these skills can set you apart during interviews.
✨Tip Number 2
Engage with the data engineering community online. Join forums, attend webinars, or participate in local meetups to network with professionals in the field. This can provide insights into industry trends and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving data pipelines and ETL workflows. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Since the role involves client interaction, practice articulating technical concepts in a way that non-technical stakeholders can understand. This skill is crucial for effective communication and will be beneficial during interviews.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer. Focus on your programming skills in Python and SQL, and mention any exposure to AWS or Google Cloud Platform. Customise your CV to reflect the key responsibilities mentioned in 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 specific projects you've worked on that align with the company's focus on digital transformation and machine learning.
Showcase Your Technical Skills: In your application, provide examples of your experience with ETL workflows and data pipeline optimisation. If you have experience with tools like Databricks, PySpark, or Airflow, be sure to include that information to demonstrate your technical proficiency.
Highlight Communication Skills: Since the role involves client engagement, emphasise your communication and stakeholder engagement skills in your application. Provide examples of how you've successfully collaborated with teams or clients in previous roles.
How to prepare for a job interview at Intellect Group
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and your knowledge of SQL during the interview. Be prepared to discuss specific projects where you've designed and built data pipelines or worked with ETL workflows, as this will demonstrate your hands-on experience.
✨Understand the Company’s Focus
Research Intellect Group and their work in the Banking and Video Gaming sectors. Familiarise yourself with their approach to digital transformation and machine learning, so you can speak confidently about how your skills align with their needs.
✨Prepare for Client Engagement Scenarios
Since the role involves engaging with clients, think of examples where you've successfully translated technical requirements into solutions. This will show your ability to communicate effectively and understand stakeholder needs.
✨Emphasise Collaboration Experience
Discuss your experience working in distributed teams and collaborating with data scientists and analysts. Highlight any tools or frameworks you've used, such as Databricks or Airflow, to illustrate your ability to work well in a team setting.
