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Starling Bank
Data Engineer - Data Infrastructure
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Starling Bank
Data Engineer - Data Infrastructure
Multiple locations
Hybrid
Description
Hybrid requirements: This role has flexible working patterns.
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 new and transformative way.
We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.
Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!
The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
We have a Hybrid approach to working here at Starling - our preference is that you’re located within a commutable distance of one of our offices so that we’re able to interact and collaborate in person.
Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers.
We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.
Responsibilities: Optimising and creating development aids for data analysts and data scientists, driving developer efficiency and best practices
Improve existing tooling and implement new tooling in and between AWS and GCP
Building out multi-cloud Analytics and Machine Learning use cases
Requirements: Good knowledge of programming languages such as Python or Java
Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred)
Proficiency with either AWS or GCP
Experience with Terraform to define and manage cloud infrastructure through code
Desirables: Experience in SQL-based transformation workflows, particularly using DBT in BigQuery
Experience with containerisation technologies (Docker, Kubernetes)
Familiarity with streaming data ingestion technologies (Kafka, Debezium)
Exposure to Data management and Linux administration
Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:
Stage 1 - 30 mins with one of the team
Stage 2 - Take-home challenge
Stage 3 - 60 mins technical interview with two team members
Stage 4 - 45 min final with two data executives
Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you)
An extra day’s holiday for your birthday
Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
Life insurance at 4x your salary & group income protection
Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
Generous family-friendly policies
Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
Role tech stack
Starling Bank
Data Engineer - Data Infrastructure
London
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