Data Engineering Technical Lead

The Data Engineering Technical Lead will play a critical role in shaping and delivering Vanguard Europe’s data and analytics capabilities. Working within the Chief Data & Analytics Office (CDAO), this role will lead the technical design, development, and evolution of data products that support business decision-making across Financial Advice Services, Marketing, Operations, Risk, and other key business functions.

Lead the design, development, and optimization of scalable data platforms and data products on AWS tech stack and Databricks. Drive engineering best practices, mentor data engineers, and deliver high-quality data solutions that support analytics, reporting, and AI initiatives.

In this role you will

· Design and build scalable data pipelines using Databricks, PySpark, SQL, AWS Glue and Lambda.

· Develop and manage Data Lake solutions using Bronze, Silver, and Gold data architectures.

· Implement batch and real-time data processing using Spark Structured Streaming and Auto Loader.

· Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.

· Establish data quality, governance, and security controls using Unity Catalog and enterprise best practices.

· Lead technical delivery, code reviews, and engineering standards across the data engineering team.

· Collaborate with Product Managers, Architects, Analysts, and business stakeholders to deliver data products.

· Implement CI/CD and Infrastructure as Code using Terraform and modern DevOps practices.

· Mentor engineers and promote best practices in Databricks and data engineering.

· Expert-level experience with Databricks, PySpark, SQL, and Apache Spark

· Strong experience designing and delivering cloud-based data platforms and lakehouse architectures

· Hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and performance tuning

· Experience building batch and streaming data pipelines

· Strong knowledge of data modelling and data product design

· Experience with Terraform, Git, CI/CD, and automated testing

· Proven leadership and stakeholder management skills

.

Nice-to-Have Skills & Experience

· AWS data platform experience

· Experience with Delta Live Tables (DLT) and MLflow

· Knowledge of AI/ML, MLOps, and Generative AI solutions on Databricks

· Financial Services industry experience

Special Factors

· This is a hybrid position and would require you to work in the office 3 days per week (Tuesday, Wednesday & Thursday)

Vanguard is a different kind of investment company. It was founded in the United States in 1975 on a simple but revolutionary idea: that an investment company should manage its funds solely in the interests of its clients.

This is a philosophy that has helped millions of people around the world to achieve their goals with low-cost, uncomplicated investments.

It’s what we stand for: value to investors.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard’s core purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.