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- Tasks: Transform raw data into high-quality datasets and build scalable dbt models.
- Company: Join a leading data intelligence platform in the Private Equity sector.
- Benefits: Enjoy a competitive salary, bonus potential, and flexible office days.
- Why this job: Accelerate your career in a collaborative environment with learning opportunities.
- Qualifications: 3-5 years experience in Data/Analytics Engineering, strong SQL skills required.
- Other info: No VISA sponsorship available; must be able to work in the UK.
The predicted salary is between 45000 - 75000 £ 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. This role would be perfect for someone with 3-5 years experience, looking to take their career to the next level. 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.
Must have requirements:
- 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 DBT in production
- 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
- Strong communication skills and the ability to collaborate across teams
- At least intermediate proficiency in Python
Bonus points for experience with:
- Understanding of Private Equity and/or financial accounting
- Experience manipulating, processing, modelling, and extracting value from large, disconnected datasets
- Familiarity with data warehouse design and modelling
- Familiarity with cloud data services (preferably Azure)
- Experience with Airflow
Please note: unfortunately, this role does not offer VISA sponsorship.
Contact Detail:
Wave Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data/Analytics Engineer (City of London)
✨Tip Number 1
Network with professionals in the Private Equity and Financial Services sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 2
Brush up on your SQL skills by working on real-world projects or contributing to open-source data engineering initiatives. This hands-on experience will not only enhance your proficiency but also give you concrete examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with Databricks and PostgreSQL by taking online courses or tutorials. Being able to demonstrate your knowledge of these tools will set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios. Focus on data quality assurance and testing, as these are crucial aspects of the role that you’ll want to showcase your understanding of.
We think you need these skills to ace Data/Analytics Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer or Analytics Engineer. Focus on your proficiency in SQL, DBT, Databricks, and PostgreSQL. Use specific examples to demonstrate your skills in data testing and quality assurance.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your relevant experience and how it aligns with the job requirements. Highlight your strong communication skills and ability to collaborate across teams.
Showcase Relevant Projects: If you have worked on projects involving large datasets or cloud data services, be sure to include these in your application. Describe your role and the impact of your work, especially if it relates to Private Equity or financial accounting.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in data roles.
How to prepare for a job interview at Wave Talent
✨Showcase Your SQL Skills
Since strong proficiency in SQL is a must-have, be prepared to discuss your experience with complex queries. You might even be asked to solve a SQL problem on the spot, so brush up on your skills and be ready to demonstrate your thought process.
✨Familiarise Yourself with DBT and Databricks
As this role involves building scalable dbt models on Databricks, make sure you understand how both tools work. Be ready to discuss any projects you've worked on using these technologies and how you approached challenges in those projects.
✨Communicate Clearly and Collaboratively
Strong communication skills are essential for this position. Practice explaining technical concepts in simple terms, as you'll need to collaborate with various stakeholders. Think of examples where you've successfully worked in a team to achieve a common goal.
✨Demonstrate Your Understanding of Data Quality
With a solid understanding of data testing and quality assurance being crucial, prepare to discuss your approach to ensuring data integrity. Share specific examples of how you've implemented data quality checks in previous roles and the impact they had on your projects.
