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 built a new kind of bank because we knew technology had the power to help people save, spend, and manage their money in a transformative way.
We're a fully licensed UK bank with the culture of a fast-moving, disruptive tech company. We employ over 3,000 people across London, Southampton, Cardiff, and Manchester.
Our technologists are at the heart of Starling, working in a fast-paced environment focused on building innovative fintech solutions. We operate a flat structure to empower decision-making, fostering innovation and collaboration. Support is always available within our open culture.
To thrive at Starling, you should be self-driven, take ownership of your work, and share knowledge to improve processes and deliver excellent results for our customers. Our values are Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
Hybrid Working
We have a hybrid working model; we prefer you to be within a commutable distance of an office to facilitate in-person collaboration. In Technology, a minimum of 1 day per week in the office is expected.
Our Data Environment
Our Data teams support Banking Services & Products, Customer Identity & Financial Crime, and Data & ML Engineering. They aim to deliver impactful insights for the business and customers. We value engagement, care for our code, and cross-team collaboration.
Responsibilities:
- Optimising and creating development aids for data analysts and data scientists, improving developer efficiency and best practices
- Enhancing existing tooling and implementing new tools across AWS and GCP
- Building multi-cloud analytics and machine learning use cases
Requirements:
- Proficiency in programming languages such as Python or Java
- Solid experience with SQL and relational databases (preferably PostgreSQL)
- Experience with AWS or GCP
- Knowledge of Terraform for managing cloud infrastructure
Desirable Skills:
- Experience with SQL-based transformation workflows, especially using DBT in BigQuery
- Experience with containerisation (Docker, Kubernetes)
- Familiarity with streaming data technologies (Kafka, Debezium)
- Knowledge of data management and Linux administration
Interview Process:
Our interview process is conversational and designed to be a two-way exchange. It typically includes:
- Stage 1 - 30 mins with a team member
- Stage 2 - Take-home challenge
- Stage 3 - 60 mins technical interview with two team members
- Stage 4 - 45 mins final interview with two data executives
Benefits:
- 25 days holiday plus the option to take public holidays when convenient
- Additional holiday for your birthday
- Annual leave increases with service; options to buy or sell days
- 16 hours paid volunteering annually
- Salary sacrifice, pension scheme
- Life insurance (4x salary), income protection
- Private Medical Insurance with mental health and cancer support, partner discounts
- Family-friendly policies
- Perkbox discounts and wellness platform
- Initiatives like Cycle to Work, gym partnerships, EV leasing
About Us:
We value diversity and inclusion and are open to flexible working discussions. Applying does not require ticking every box; we encourage you to reach out if you're excited about working with us. Starling Bank is an equal opportunity employer, committed to fostering an inclusive environment.
Additional Information:
Position: Mid-Senior level, Full-time, in Information Technology within IT Services and Consulting industries.
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