Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform raw data into high-quality datasets and build scalable models.
- Company: Join a leading data intelligence platform in the Private Equity sector.
- Benefits: Enjoy a competitive salary, bonus potential, and flexible remote work options.
- Why this job: Accelerate your career in a supportive environment with opportunities for learning and growth.
- Qualifications: 3+ years as a Data/Analytics Engineer, strong SQL skills, and experience with Databricks/PostgreSQL.
- Other info: Bonus points for knowledge in Private Equity and cloud services like Azure.
The predicted salary is between 54000 - 84000 £ per year.
A data intelligence platform specialising in Private Equity is looking for a Data/Analytics Engineer. You’ll transform raw data into meaningful, high-quality datasets that power applications across the company. You’ll build scalable dbt models on top of Databricks and PostgreSQL, partnering with data and business stakeholders to define metrics, track performance, and ensure data quality.
Working closely with the Head of Data and more senior colleagues across Data Engineering, Data Science and the wider Engineering and Product teams, you would be in an environment fostering learning and helping you accelerate your development and progression.
- At least 3 years professional experience as a Data Engineer or Analytics Engineer
- Strong proficiency in SQL, with proven experience writing complex, performant queries
- Experience working with Databricks and/or PostgreSQL
- Solid understanding of data testing, observability, and data quality assurance
- Familiarity with Git and modern software development practices
- At least intermediate proficiency in Python
Bonus points for experience with:
- Understanding of Private Equity and/or financial accounting
- Familiarity with data warehouse design and modelling
- Familiarity with cloud data services (preferably Azure)
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Analytics Engineer
✨Tip Number 1
Make sure to brush up on your SQL skills, as strong proficiency is a must for this role. Practise writing complex queries and consider showcasing any relevant projects or examples during your discussions.
✨Tip Number 2
Familiarise yourself with Databricks and PostgreSQL if you haven't already. You could even create a small project using these technologies to demonstrate your hands-on experience when you get the chance to chat with us.
✨Tip Number 3
Understanding data quality assurance and testing is crucial. Be prepared to discuss how you've ensured data integrity in past roles, as this will show your commitment to delivering high-quality datasets.
✨Tip Number 4
If you have any experience with cloud data services, especially Azure, make sure to highlight that. It can set you apart from other candidates and show that you're well-versed in modern data practices.
We think you need these skills to ace Data and Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer or Analytics Engineer. Emphasise your proficiency in SQL, Databricks, and PostgreSQL, and include specific examples of complex queries you've written.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the role and how your skills align with the company's needs. Mention your understanding of data quality assurance and any relevant experience with cloud data services.
Showcase Relevant Projects: If you have worked on projects involving data testing, observability, or financial accounting, be sure to include these in your application. This will demonstrate your practical experience and understanding of the industry.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a Data/Analytics Engineer role.
How to prepare for a job interview at Wave Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Databricks, and PostgreSQL in detail. Bring examples of complex queries you've written and be ready to explain your thought process behind them.
✨Demonstrate Data Quality Assurance Knowledge
Since the role emphasises data quality, be ready to talk about your understanding of data testing and observability. Share specific instances where you ensured data integrity in your previous roles.
✨Familiarise Yourself with the Company’s Focus
Research the private equity industry and understand how data plays a role in it. This will help you connect your skills to their needs and show genuine interest in the sector.
✨Prepare for Collaborative Scenarios
The role involves working closely with various teams. Think of examples from your past experiences where you successfully collaborated with others, particularly in data engineering or analytics projects.
