Job Description
Data Engineering Technical LeadLocation: Manchester Role Type: Permanent Work Setup: Hybrid - 3 days in officeWho We Are
Vanguard is one of the world's leading investment firms, dedicated to helping clients achieve lasting financial success. Established in 1975, its unique ownership structure-where funds own the company and investors own the funds-ensures all efforts are focused on client outcomes. Known for integrity, innovation, and low-cost investing, fosters an inclusive and collaborative culture that empowers employees to make a meaningful impact globally. What you'll do: Delivers advanced data solutions by processing, storing, and serving data efficiently. Ensures high-quality, secure, and scalable data pipelines. Performs deep analytical work on diverse data sources and mentors junior Data Engineers.
* Design and develop ETL processes, database systems, and tools for real-time and offline analytics.
* Ensure data consistency and integrity; integrate large, complex datasets for business insights.
* Converts business requirements into design and code, developing complex programs, queries, and reports while ensuring well-structured, documented, and maintainable solutions.
* Collaborate with internal clients and technical teams to implement effective data solutions.
* Lead solution development, providing technical guidance and explaining considerations to team and clients.
* Assess data quality, test code, and provide technical consulting and data analysis guidance.
* Mentor junior data engineers, enforce quality standards, and contribute expertise across teams.
* Test and deploy new software, perform regression testing, and resolve vendor-related issues.
* Apply experience in data analytics, programming, database administration, and data management.
What you bring:
* Bachelor's degree or equivalent experience
* Strong senior data engineering background with deep understanding of medallion architecture.
* Solid grasp of design principles (SOLID), design patterns, and OOP in Python as applied to data engineering.
* Experienced in enforcing data engineering standards, clean code practices, code review approaches (Python + SQL)
* Strong AWS experience: serverless services, cost optimization, infrastructure as code, and deployment fundamentals
What's Next:
If you are ready to take the next step, apply now. Successful applicants will be contacted directly by a recruiter to discuss the role more.
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