Data Engineer, CDAO Europe

The CDAO Europe Data Engineering team owns the infrastructure required to create data pipelines that support the FAS & UKPI Business.

Using AWS, we take advantage of their Serverless services for our ETL processes.
Core services we use include but are not limited to:
IAM
CloudFormation
CloudWatch
AWS S3
AWS Glue
AWS Lambda
AWS SQS
AWS SNS
AWS EventBridge
AWS StepFunctions
AWS DynamoDb

Provides advanced data solutions by using software to process, store, and serve data to others. Tests data quality and optimizes data availability. Ensures that data pipelines are scalable, repeatable, and secure. Utilizes a deep dive analytical skillset on a variety of internal and external data.

Core Responsibilities

1. Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.

2. Troubleshoots software and processes for data consistency and integrity. Integrates large scale data from a variety of sources for business partners to generate insight and make decisions.

3. Translates business specifications into design specifications and code. Responsible for writing complex programs, ad hoc queries, and reports. Ensures that all code is well structured, includes sufficient documentation, and is easy to maintain and reuse.

4. Partners with internal clients to gain an enhanced understanding of business functions and informational needs. Gains expertise in tools, technologies, and applications/databases in specific business areas and company-wide systems.

5. Leads all phases of solution development. Explains technical considerations at related meetings, including those with internal clients and less experienced team members.

6. Tests code thoroughly for accuracy of intended purpose. Reviews end product with the client to ensure adequate understanding. Provides data analysis guidance as required.

7. Designs and conducts training sessions on tools and data sources used by the team and self provisioners. Provides job aids to team members and business users.

8. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.

9. Participates in special projects and performs other duties as assigned.

Qualifications

• Minimum of five years data analytics, programming, database administration, or data management experience.
• Undergraduate degree or equivalent combination of training and experience.

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.