Analytics Engineer (Customer)

Starling Bank; Manchester; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading fintech company seeks passionate data professionals to enhance their data environment. You'll design and implement robust data models, collaborate across teams, and contribute to impactful insights that shape the future of banking. Join a collaborative culture that empowers your growth and innovation.

Qualifications

• Experienced in designing and maintaining data models.
• Skilled in collaborating with technical and non-technical stakeholders.
• Ability to optimize data models and warehouse efficiency.

Responsibilities

• Design, build, and maintain data models using dbt.
• Develop and implement data models in Looker.
• Communicate effectively with stakeholders and maintain documentation.

Skills

Data modeling

Collaboration

Documentation

Job description

Description

Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

We are about giving customers a new way to spend, save and manage their money while taking better care of the planet. This commitment has helped us become a multi-award-winning bank with over 2800 employees across London, Cardiff, Dublin, Southampton, and Manchester. Since our inception in 2014, we have surpassed 3.5 million accounts, including four account types, serving 350,000 business customers. We are a fully licensed UK bank and a tech-first company, enabling us to deliver innovative products.

Our technologists are central to Starling, working in a fast-paced environment focused on building new solutions and disruptive fintech technology. We maintain a flat structure to empower decision-making, foster innovation, and encourage collaboration. Support is readily available within our open culture, emphasizing teamwork and shared success.

To thrive at Starling, individuals should be self-driven and take ownership of their work—from development and design to knowledge sharing and process optimization. Our core values are Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We operate a hybrid work model, preferring employees to be within commuting distance of our offices to facilitate in-person collaboration. In Technology, a minimum of one day per week in the office is expected.

Our Data Environment

Our Data teams focus on divisions related to Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. They are passionate about delivering impactful insights to the business and our customers. Learn more from our latest blogs and case studies with Women in Tech.

We seek talented data professionals at all levels who are engaged, caring about customers and code, and capable of tackling diverse challenges. Collaboration across teams is vital to our mission of transforming banking for good.

Responsibilities:

• Design, build, and maintain robust, reusable data models using dbt, integrating internal and external data sources within the data warehouse.
• Develop and implement data models within Looker.
• Maintain clear documentation and definitions across the data warehouse and Looker; communicate effectively with both technical and non-technical stakeholders.
• Collaborate with the wider data team to establish best practices, focusing on optimizing warehouse efficiency, reducing complexity, and controlling costs.