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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 as a Data/Analytics Engineer with strong SQL skills.
- Other info: This role does not offer VISA sponsorship.
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.
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
- 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
Make sure to brush up on your SQL skills, as strong proficiency in writing complex queries is a must for this role. Consider working on personal projects or contributing to open-source projects that involve SQL to showcase your abilities.
✨Tip Number 2
Familiarise yourself with DBT and Databricks, as these are key tools for the position. You could take online courses or tutorials to gain hands-on experience, which will not only boost your confidence but also impress potential employers.
✨Tip Number 3
Networking is crucial! Connect with professionals in the data engineering field, especially those who work in Private Equity. Attend industry meetups or webinars to learn more about the sector and make valuable connections that could lead to job opportunities.
✨Tip Number 4
Prepare to demonstrate your understanding of data quality assurance and testing during interviews. Think of examples from your past experience where you ensured data integrity and be ready to discuss them in detail.
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 quality assurance and collaboration.
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 your ability to work across teams.
Showcase Relevant Projects: If you have worked on projects involving large datasets or financial accounting, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. 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 related to data transformation.
✨Communicate Clearly
Strong communication skills are essential for collaborating with various teams. Practice explaining technical concepts in simple terms, as you may need to convey complex ideas to non-technical stakeholders during the interview.
✨Prepare for Data Quality Discussions
Given the emphasis on data quality assurance, be ready to talk about your experience with data testing and observability. Think of examples where you ensured data integrity and how you handled any issues that arose.
