Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data pipelines and design data models for analytics.
- Company: Join a leading Investment Management firm driving data platform modernisation.
- Benefits: Earn £750/day, enjoy hybrid work, and work outside IR35.
- Why this job: Thriving in a fast-paced environment, you'll impact critical business operations.
- Qualifications: Strong Python and Databricks skills; financial services experience preferred.
- Other info: 12-month rolling contract with opportunities for growth.
The predicted salary is between 54000 - 78000 £ per year.
Our client, a leading Investment Management firm, is looking for a contract Data Engineer with strong Python and Databricks skills to help drive their data platform modernisation.
You’ll be working on business-critical data pipelines and analytics infrastructure, supporting both investment and operations teams. This is a hands-on role in a fast-moving environment, ideal for someone who thrives in financial services.
What you’ll be doing:
- Building scalable data pipelines in Python and Databricks
- Designing data models to support analytics, reporting & regulatory needs
- Working with cloud-based data platforms (Azure preferred)
- Partnering closely with data analysts, quants, and tech teams
Tech you’ll be using:
- Python (strong hands-on coding essential)
- Databricks / Spark
- Azure Data Lake / Delta Lake
- SQL / ETL frameworks
- CI/CD tools and version control (Git, Azure DevOps)
What we’re looking for:
- Strong commercial experience as a Data Engineer
- Deep Python and Spark/Databricks expertise
- Financial services experience — ideally investment or asset management
- Comfortable working in a cloud-first, fast-paced delivery environment
- Good understanding of data governance and regulatory data needs (nice to have)
Contract Data Engineer | Investment Management employer: Pharos Resource Partners
Contact Detail:
Pharos Resource Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract Data Engineer | Investment Management
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, especially Python and Databricks. Consider building a small project or contributing to open-source projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 2
Network with professionals in the investment management sector. Attend industry meetups or webinars where you can connect with data engineers and hiring managers. This can provide valuable insights into the company culture and expectations, making you a more informed candidate.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges specifically related to data engineering. Focus on problems that involve building data pipelines and working with SQL, as these are crucial for the role and will demonstrate your hands-on coding abilities.
✨Tip Number 4
Research the company’s recent projects and initiatives in data platform modernisation. Being able to discuss their work and how your skills can contribute to their goals during an interview will show your genuine interest and help you stand out as a candidate.
We think you need these skills to ace Contract Data Engineer | Investment Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Databricks, and any relevant financial services background. Use specific examples of projects where you've built data pipelines or worked with cloud-based platforms.
Craft a Strong Cover Letter: In your cover letter, emphasise your hands-on experience in data engineering and your ability to thrive in fast-paced environments. Mention your familiarity with Azure and how it relates to the role.
Showcase Relevant Skills: Clearly list your technical skills such as SQL, ETL frameworks, and CI/CD tools. Provide context for these skills by mentioning specific projects or achievements that demonstrate your expertise.
Highlight Team Collaboration: Since the role involves partnering with data analysts and tech teams, include examples of how you've successfully collaborated with others in previous roles. This will show your ability to work effectively in a team setting.
How to prepare for a job interview at Pharos Resource Partners
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, be prepared to discuss your experience in detail. Bring examples of projects where you've built data pipelines or performed data manipulation using Python.
✨Familiarise Yourself with Databricks
Make sure you understand how Databricks works and be ready to explain how you've used it in past projects. Highlight any specific features of Databricks that you've leveraged to improve data processing or analytics.
✨Understand the Financial Services Landscape
Given the focus on investment management, brush up on key concepts in financial services. Be ready to discuss how your technical skills can support investment and operations teams effectively.
✨Prepare for Technical Questions
Expect technical questions related to SQL, ETL frameworks, and cloud platforms like Azure. Practise explaining your thought process and problem-solving approach, as this will demonstrate your hands-on experience and analytical skills.
