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- Tasks: Join us as a Data Engineer to optimise tools and enhance data analytics.
- Company: Starling is the UK's leading digital bank, revolutionising banking with technology.
- Benefits: Enjoy 25 days holiday, hybrid working, and wellness perks like gym partnerships.
- Why this job: Be part of a fast-paced, innovative culture that values collaboration and personal growth.
- Qualifications: Proficiency in Python or Java, SQL experience, and knowledge of AWS or GCP required.
- Other info: We embrace diversity and encourage applicants from all backgrounds.
The predicted salary is between 43200 - 72000 £ 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 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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Data Engineer - Data Infrastructure employer: Starling Bank
Contact Detail:
Starling Bank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Data Infrastructure
✨Tip Number 1
Familiarise yourself with Starling's values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. During your interactions, whether in interviews or networking, demonstrate how your personal values align with theirs.
✨Tip Number 2
Showcase your technical skills by discussing relevant projects you've worked on, especially those involving AWS, GCP, or SQL. Be prepared to explain your thought process and the impact of your work on previous teams or projects.
✨Tip Number 3
Engage with the data engineering community online, particularly around topics like Terraform, Docker, and machine learning. This can help you stay updated on industry trends and may provide valuable insights to share during your interview.
✨Tip Number 4
Prepare for the conversational nature of the interview process by practising common technical questions and scenarios. Think about how you can turn these into discussions that highlight your problem-solving skills and collaborative mindset.
We think you need these skills to ace Data Engineer - Data Infrastructure
Some tips for your application 🫡
Understand the Company Culture: Familiarise yourself with Starling's mission and values. Highlight how your personal values align with theirs, especially around innovation, collaboration, and customer focus.
Tailor Your CV: Ensure your CV reflects relevant experience in data engineering, particularly with AWS or GCP, SQL, and programming languages like Python or Java. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and your understanding of the role. Mention any experience with multi-cloud analytics or machine learning use cases, as these are key responsibilities for the position.
Prepare for the Interview Process: Since the interview process is conversational, practice discussing your past projects and experiences in a way that highlights your problem-solving skills and ability to work collaboratively. Be ready for both technical questions and discussions about your approach to data management.
How to prepare for a job interview at Starling Bank
✨Understand the Company Culture
Before your interview, take some time to research Starling's values and culture. They emphasise innovation, collaboration, and ownership, so be prepared to discuss how you embody these traits in your work.
✨Showcase Your Technical Skills
Be ready to demonstrate your proficiency in programming languages like Python or Java, as well as your experience with SQL and cloud platforms like AWS or GCP. Prepare examples of past projects where you've successfully applied these skills.
✨Prepare for the Take-Home Challenge
The take-home challenge is a key part of the interview process. Make sure to allocate enough time to complete it thoroughly. Focus on demonstrating your problem-solving abilities and technical expertise, and don't hesitate to ask for clarification if needed.
✨Engage in the Conversational Interview
The interview process at Starling is designed to be a two-way exchange. Use this opportunity to ask insightful questions about the team, projects, and company direction. This shows your genuine interest and helps you assess if it's the right fit for you.
