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- Tasks: Build data pipelines and modernise reporting frameworks in a collaborative tech team.
- Company: Join a leading private capital asset manager known for its innovative approach.
- Benefits: Enjoy excellent compensation, benefits, and direct exposure to senior leadership.
- Why this job: Make a real impact on data architecture while working in a dynamic, close-knit team.
- Qualifications: Experience in data engineering or analytics, with skills in SQL and programming languages.
- Other info: Opportunity to influence the firm's growth in private credit and equity platforms.
The predicted salary is between 43200 - 72000 £ per year.
My client, a leading private capital asset manager, is seeking a talented Data Engineer to join their growing Technology team based in London. As a Data Engineer, you will work at the heart of the firm’s data operations, building robust pipelines, modernising reporting frameworks, and enhancing data automation across business-critical functions. This is a collaborative, hands-on role interfacing with stakeholders across the business to deliver efficient, scalable data solutions. You’ll join a close-knit and dynamic team with direct exposure to senior leadership and the chance to influence Pollen Street’s data architecture as the firm expands its private credit and equity platforms.
Responsibilities
- Develop and support data pipelines to ingest, transform and manage data in the data lake and warehouse.
- Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel.
- Translate business needs into technical reporting requirements, liaising with users to resolve data queries.
- Manage and maintain ETL processes and troubleshoot data issues, including log analysis and issue resolution.
- Automate key business processes and transition legacy/manual systems into modernised, scalable solutions.
- Conduct testing (manual and automated), extend wiki documentation, and contribute to ongoing development projects.
Requirements
- Experience working within data engineering or analytics in a financial or regulated business environment.
- Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory.
- Strong skills in Excel and Power Query; experience developing reports in Power BI desirable.
- Knowledge of programming (e.g., C# .NET, PowerShell, Python or R) and ETL best practices.
- Familiarity with source control tools and deployment pipelines.
- Ability to collaborate within a small, agile team, with excellent communication and problem-solving skills.
To apply, either respond to this advert or send your CV directly to sasha.duquesne@mondrian-alpha.com.
Data Engineer – Leading Boutique Asset Manager – Discrete Search – Excellent Compensation + Benefits employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
sasha.duquesne@mondrian-alpha.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Leading Boutique Asset Manager – Discrete Search – Excellent Compensation + Benefits
✨Tip Number 1
Network with professionals in the finance and data engineering sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in data management.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Microsoft SQL Server and Azure Data Factory. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to learning.
✨Tip Number 3
Prepare to discuss your previous projects that involved data pipelines and automation. Be ready to explain your problem-solving approach and how you collaborated with stakeholders to deliver effective data solutions.
✨Tip Number 4
Research the company culture and values of the asset manager. Tailor your conversations during interviews to reflect how your personal values align with theirs, showcasing your enthusiasm for contributing to their team.
We think you need these skills to ace Data Engineer – Leading Boutique Asset Manager – Discrete Search – Excellent Compensation + Benefits
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer position. Tailor your application to highlight relevant experience in data engineering or analytics, especially within financial or regulated environments.
Highlight Technical Skills: Emphasise your proficiency in Microsoft SQL Server, Azure SQL, and ETL processes. Mention any experience with Power BI, Excel, and programming languages like Python or C#. This will show that you have the technical expertise needed for the role.
Showcase Collaboration Experience: Since the role involves working closely with stakeholders, include examples of past collaborative projects. Highlight your communication skills and ability to resolve data queries effectively, as these are crucial for success in this position.
Craft a Strong Cover Letter: Write a compelling cover letter that connects your background to the specific needs of the company. Discuss how your skills can contribute to modernising their reporting frameworks and enhancing data automation, demonstrating your understanding of their business goals.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL Server, Azure SQL, and ETL processes. Bring examples of past projects where you built data pipelines or automated processes, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the firm’s operations and how data engineering fits into their business model. Being able to articulate how your role as a Data Engineer can impact their private credit and equity platforms will show your genuine interest in the position.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data issues and troubleshooting. Think of specific challenges you've faced in previous roles and how you resolved them, as this will highlight your analytical skills.
✨Demonstrate Collaboration Skills
Since the role involves interfacing with various stakeholders, be ready to discuss your experience working in teams. Share examples of how you’ve effectively communicated technical concepts to non-technical users, showcasing your ability to bridge gaps between teams.
