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- Tasks: Build cloud-native data platforms and improve tooling in AWS and GCP.
- Company: Join Starling, the UK's leading digital bank on a mission to transform banking.
- Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
- Why this job: Make a real impact in fintech while working with cutting-edge technology.
- Qualifications: Experience in Python or Java, Kubernetes, and cloud platforms like AWS or GCP.
- Other info: Dynamic team culture focused on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
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 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, with innovation and collaboration at the core of everything you do. Help is never far away in our open culture, and 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 to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and ensuring 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.
Hybrid Working
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 can interact and collaborate in person. In Technology, we’re asking that you attend the office a minimum of 1 day per week.
Our Data Environment
Our Data teams are aligned to divisions covering 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 who are engaged and care about customers, 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 to do great things here at Starling, to continue changing banking for good.
Responsibilities
- Building out cloud-native Warehouse and Machine Learning platforms
- Improve existing and implement new tooling in and between AWS and GCP
Requirements
- Good knowledge of programming languages such as Python or Java
- Solid understanding and practical experience with Kubernetes (Operators, Helm, etc)
- Proficiency with either AWS or GCP
- Experience with Terraform to define and manage cloud infrastructure through code
- Good practical experience with SQL and relational databases (PostgreSQL preferred)
Desirables
- Experience in SQL-based transformation workflows, particularly using DBT in BigQuery
- Familiarity with streaming data ingestion technologies (Kafka, Debezium)
- Exposure to Data management and Linux administration
Interview process
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 after 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
About Us
You may be put off applying for a role because you don’t tick every box. Forget that! While we can’t accommodate every flexible working request, we’re always open to discussion. So, if you’re excited about working with us, but aren’t sure if you’re 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking—and that starts with our brilliant team. We’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.
Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Data Engineer - Data Infrastructure in Cardiff employer: Starling
Contact Detail:
Starling Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Data Infrastructure in Cardiff
✨Tip Number 1
Get to know Starling's values and culture before your interview. This will help you align your answers with what they care about, like innovation and collaboration. Show them you're not just a fit for the role, but for the team too!
✨Tip Number 2
Prepare some thoughtful questions to ask during your interview. This shows you're genuinely interested in the role and the company. Plus, it gives you a chance to see if Starling is the right place for you!
✨Tip Number 3
Practice your technical skills relevant to the job. Since they're looking for expertise in Python, AWS, or GCP, brush up on those areas. You might even want to do a mock technical interview with a friend to get comfortable.
✨Tip Number 4
Don't hesitate to apply through our website, even if you don't tick every box. Starling values diverse backgrounds and experiences, so your unique perspective could be just what they need. Go for it!
We think you need these skills to ace Data Engineer - Data Infrastructure in Cardiff
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with programming languages like Python or Java, and any cloud platforms you've worked with. We want to see how your skills align with our mission at Starling!
Show Your Passion: Let your enthusiasm for fintech and data engineering shine through in your application. Share any personal projects or experiences that demonstrate your love for technology and problem-solving. We’re all about innovation, so show us what you’ve got!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details about the role and our culture there, which can help you tailor your application even more!
How to prepare for a job interview at Starling
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, Java, AWS, GCP, and Kubernetes. Brush up on your SQL skills too, especially with PostgreSQL, as this will likely come up during technical discussions.
✨Prepare for the Take-Home Challenge
The take-home challenge is a key part of the interview process. Treat it like a mini-project: plan your time wisely, document your thought process, and ensure your code is clean and well-commented. This shows your attention to detail and ability to communicate effectively.
✨Ask Thoughtful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in Starling's mission and culture. Ask about their approach to innovation or how they support team collaboration. This not only helps you gauge if it's the right fit but also demonstrates your enthusiasm.
✨Embrace the Open Culture
Starling values collaboration and support, so be ready to discuss how you’ve worked in teams before. Share examples of how you’ve taken ownership of projects and contributed to a positive team environment. This aligns with their values and shows you’re a great cultural fit.
