Senior Data Engineer

Triple Point was founded in 2004 with the belief that connecting investing insights with the right resources and partners can deliver powerful solutions. Today, we manage more than £3.6 billion of assets for a broad range of investors, through four distinct investment strategies: Social Housing, Clean Heat, Private Credit and Venture. These are all areas where our expertise, empathy and resourcefulness make a real difference in unlocking long-term value.

There are 250 of us at Triple Point and our distinctiveness comes from our ability to connect the dots to get to the heart of any challenge, which makes us an essential partner to our clients and our investors, while leaving the world demonstrably better than we found it. We take our commitments seriously, which is why we’re a certified B-Corp and signed up to the Principles for Responsible Investment.

There are five values we uphold as especially important in all our people, Stay Curious, Be Generous, Take Thoughtful Action, Pull Together and Own It - by upholding these values we continue building a high performing organisation. 

Key Responsibilities

• Lead and execute data migration tasks, working closely with cross-functional teams to ensure seamless integration and data quality.
• Design, implement, and optimise ETL processes to facilitate data collection, transformation, and loading from diverse sources.
• Build, maintain, and improve the Snowflake data warehouse, ensuring scalability and resilience for future reporting needs.
• Collaborate with business users, providing guidance on data management practices and troubleshooting data quality issues.
• Develop and maintain Python scripts and data pipelines for automation and streamlined data processes.
• Conduct rigorous data cleansing, validation, and testing to uphold high standards of data integrity across all systems.
• Support and mentor team members in best practices for data engineering, ETL, and warehousing, fostering a collaborative environment.
• Identify and address issues within the financial lending data set, applying industry knowledge to improve data reliability.

Knowledge and Experience

• Extensive experience with the full data lifecycle, including data collection, ETL processes, cleansing, testing, and validation.
• Good knowledge of data sharing back to business users either via BI tools or direct data access for self-analysis in excel.
• Strong programming skills in Python for data engineering tasks, automation, and scripting.
• Proficient with data movement tools and techniques, ensuring efficient data integration and transformation across systems.
• Hands-on experience with Snowflake, including data warehousing architecture, setup, and optimisation for reporting.
• Familiarity with data governance principles, data quality standards, and best practices in ETL and data warehousing.
• Industry experience within the financial lending sector is highly desirable, especially in addressing domain-specific data challenges.
• Proven ability to mentor and develop less experienced data engineers, sharing best practices in data management and ETL.
• Strong analytical skills with attention to detail, ensuring data accuracy and reliability.

Qualities and Competencies

• Strong attention to detail and ability to work with large and complex datasets.
• Collaborative, problem-solving approach
• Strong interpersonal skills, able to work across teams
• Must be a detail-oriented individual
• Ability to work independently and in a team environment
• Excellent communication and presentation skills
• Strong organisational and project management skills
• Proactive and results-driven attitude
• Inquisitive and curious personality

Triple Point offers a wealth of benefits including a contributory pension, hybrid/flexible working and ongoing learning and development opportunities. Check out our comprehensive list of benefits HERE. 

Apply today for further information!

Triple Point is dedicated to providing fair and equal opportunities for all individuals, including both current and potential employees. Discrimination of any kind based on factors such as age, disability, gender, sexual orientation, pregnancy, race, ethnicity, religion, gender identity, or marital status is not tolerated by the company.

Our aim is to create a welcoming and diverse work environment where people from all walks of life feel valued and supported. We actively encourage individuals from various backgrounds to apply for job vacancies and become part of our team. 

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