Data Engineer

The Role:

• Individual should have a strong technical background with experience in designing and delivering high-quality data solutions (dashboards, databases, pipelines, and visualizations).

• Strong judgment and communication skills, experience design, and a continuous focus on engineering and operational excellence are essential for success in this role.

• You should be comfortable and skilled with challenging the status quo and relish the idea of solving hard problems through deep collaboration with customers and cross-functional teams.

• You will tackle interesting, novel situations every day and have the opportunity to partner with multiple product teams at Morningstar to deliver exceptional service to the Wealth Platform business.

• As a Data Engineer in our team, you will build a world-class financial services experience for investors and financial advisers.

• You will have the freedom and encouragement to experiment, improve, invent, and innovate on behalf of our customers.

• You will build highly scalable data products using cutting-edge technologies while collaborating with multiple teams in the business.

• You will have the satisfaction of delivering value to customers in a fast-paced, iterative environment, and being a significant part of something truly innovative from the earliest stages.

• You will have a direct impact on our products, technologies, and the future of investing.

• You will be part of a team of creative, top-notch data engineers, designers, and product professionals, working hard, having fun, and pioneering in our industry.

• Our technology stack is primarily built on a Microsoft .Net stack, with an Angular front end, hosted on Azure and leverages elements of the Power Platform and Bus Apps. We have a polyglot of Raven Databases, Cosmos and SQL Server, and our wider teams also leverage the AWS stack.

• We are continually looking to innovate and enhance this so all capable, curious Data Engineers are welcome. Come and talk to us now!

Responsibilities:

• Work in cross-functional teams with engineering, product, and design colleagues to embed a data-informed culture that helps drive innovation, prioritization, and quality solutions to customer problems and needs.

• Design, build, and maintain scalable data pipelines and architectures.

• Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.

• Ensure data integrity, security, and privacy throughout the data lifecycle.

• Optimize data systems and pipelines for performance, reliability, and scalability.

• Implement and maintain ETL (Extract, Transform, Load) processes.

• Develop data set processes for data modeling, mining, and production.

• Identify areas to develop self-serve data products and reporting, leveraging tools like Power BI.

• Iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs for the journey.

• Understand end-to-end product and system analytics.

• Attend and contribute to all relevant team events and ceremonies.

Requirements:

• Minimum Bachelor’s Degree in a Science related field, or evidence of strong self-taught data and analysis skills.

• 2+ years of experience in Data Engineering with a focus on organizing and maintaining data.

• Experience with different product metrics, including onboarding, servicing, and purchase journeys.

• Strong SQL skills: extract, manipulate, transform, and analyze large volumes of data with a high level of accuracy.

• Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs.

• Desirable to have web/mobile analytics and tagging experience.

• Comfortable working in a dynamic commercial product development environment.

• Distinct customer focus and quality mindset.

• Expertise in Web Analytics and Dynamics experience is desirable.

• Fast and curious learner, with experience defining engineering best practices and providing technical mentorship to other members of the engineering team.

Morningstar is an equal opportunity employer

P03_PraemiumUKLimited Morningstar Wealth (UK) Limited Legal Entity

If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.

Morningstar’s hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, we’ve found that we’re at our best when we’re purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you’ll have tools and resources to engage meaningfully with your global colleagues.