Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data systems for investment insights and build data pipelines.
- Company: Join a forward-thinking company transforming private market data into actionable intelligence.
- Benefits: Hybrid work model, professional growth opportunities, and a collaborative culture.
- Why this job: Make a real impact on investment strategies with hands-on engineering in data.
- Qualifications: 2+ years in data engineering, strong SQL, Python skills, and experience with APIs.
- Other info: Exciting chance to work with modern tools and cloud technologies in a supportive team.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a detail-oriented and motivated Data Engineer to join on a 12-month fixed-term contract. You’ll help design and maintain the data systems that power investment insights — ensuring teams can access accurate, reliable, and well-structured data when they need it most.
This role sits within a team building a platform that transforms unstructured private market data into actionable intelligence. As a Data Engineer, you’ll play a key role in building pipelines, integrating data sources, and supporting the infrastructure that enables advanced analytics and machine learning.
You’ll work closely with engineers, analysts, and data scientists to ensure data is clean, consistent, and ready for use at scale. From database management to pipeline optimisation, you’ll be hands-on across the data lifecycle, helping turn complex datasets into meaningful insight.
What’s in it for you?
📊 Data That Drives Decisions – Work on systems that power real investment strategies and insights.
⚙ Hands-On Engineering – Build and optimise data pipelines, integrations, and infrastructure at scale.
📈 Professional Growth – Expand your skills in modern data engineering tools and cloud technologies.
🤝 Collaborative Culture – Work alongside engineers, analysts, and domain experts in a supportive environment.
🏢 Hybrid Flexibility – Balance focused remote work with in-person collaboration at our office.
What We’re Looking For:
- 2+ years of experience in data engineering or a similar role
- Strong SQL skills and familiarity with relational databases
- Proficiency in Python for data manipulation and pipeline development
- Experience working with APIs and integrating multiple data sources
- A systematic, detail-oriented approach to building reliable data systems
Nice to Have:
- Experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with workflow orchestration tools (e.g. Airflow, Prefect)
- Knowledge of data warehousing solutions and BI tools
- Exposure to financial datasets or document-heavy workflows
If you’re excited to work on meaningful data problems and help shape the way complex markets are understood — we’d love to hear from you.
Apply now and start your journey building the future of data-driven insight.
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
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and data pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your systematic approach and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our data-driven insights.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the work we do.
Showcase Your Technical Skills: Don’t forget to mention any experience you have with cloud platforms or workflow orchestration tools. If you’ve worked with APIs or financial datasets, let us know! We’re keen on candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Intellect Group
✨Know Your Data Engineering Basics
Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in building data pipelines or working with APIs. This will show that you have the technical chops for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Think about specific instances where you optimised a pipeline or integrated multiple data sources. This will demonstrate your systematic approach and detail-oriented mindset.
✨Familiarise Yourself with the Company’s Data Needs
Research the company’s focus on investment insights and their use of data. Understanding their specific data challenges and how your skills can help solve them will set you apart. Tailor your answers to align with their goals and culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the tools they use, and their approach to data management. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
