Data Engineer - Data Infrastructure
Data Engineer - Data Infrastructure

Data Engineer - Data Infrastructure

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us as a Data Engineer to optimise and create tools for data analysts and scientists.
  • Company: Starling is the UK's first digital bank, revolutionising banking with technology and fair service.
  • Benefits: Enjoy 25 days holiday, private medical insurance, and flexible working options.
  • Why this job: Be part of a fast-paced, innovative team that values collaboration and creativity in fintech.
  • Qualifications: Knowledge of Python or Java, SQL, and experience with AWS or GCP required.
  • Other info: We embrace diversity and encourage applicants from all backgrounds to apply.

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. 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; 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.

The way to thrive and shine within Starling is to be a self-driven individual and take full ownership of everything around you: from building things, designing, discovering, to sharing knowledge with your colleagues and ensuring 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.

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 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, 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.

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, 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.

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. Whatever came before, 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.

Data Engineer - Data Infrastructure employer: Starling Bank

Starling Bank is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among its talented team of over 3,000 employees. With a commitment to employee growth, generous benefits including 25 days of holiday, private medical insurance, and a supportive hybrid working model, Starling empowers its staff to take ownership of their roles while contributing to the mission of transforming banking for good. Located in vibrant cities like London, the company provides a unique opportunity to be part of a fast-paced fintech environment that values diversity and inclusion.
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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 you embody these values in your work and approach.

✨Tip Number 2

Engage with the data community at Starling by following their blogs and case studies. This will not only give you insights into their projects but also help you formulate relevant questions to ask during your interview, showcasing your genuine interest in their work.

✨Tip Number 3

Prepare for the technical interview by brushing up on your knowledge of AWS, GCP, and Terraform. Consider building a small project that utilises these technologies to demonstrate your practical experience and problem-solving skills.

✨Tip Number 4

Network with current employees on platforms like LinkedIn. Reach out to them for informational interviews to gain insights about the company culture and the specific challenges they face in the Data Engineering team, which can help you tailor your approach.

We think you need these skills to ace Data Engineer - Data Infrastructure

Proficiency in Python or Java
Solid understanding of SQL and relational databases (PostgreSQL preferred)
Experience with AWS or GCP
Familiarity with Terraform for cloud infrastructure management
Experience in SQL-based transformation workflows, particularly using DBT in BigQuery
Knowledge of containerisation technologies (Docker, Kubernetes)
Understanding of streaming data ingestion technologies (Kafka, Debezium)
Data analysis and visualisation skills
Strong problem-solving abilities
Ability to optimise development processes for efficiency
Collaboration and teamwork skills
Adaptability to fast-paced environments
Excellent communication skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Engineer role at Starling. Focus on your programming knowledge, particularly in Python or Java, and your experience with SQL and cloud platforms like AWS or GCP.

Craft a Compelling Cover Letter: In your cover letter, express your passion for fintech and how you resonate with Starling's mission to fix banking. Mention specific projects or experiences that demonstrate your ability to optimise data processes and drive developer efficiency.

Showcase Relevant Projects: If you have worked on any relevant projects, especially those involving multi-cloud analytics or machine learning, be sure to include them in your application. Highlight your role, the technologies used, and the impact of your work.

Prepare for the Interview: Research common interview questions for data engineering roles and prepare your answers. Be ready to discuss your technical skills, problem-solving abilities, and how you can contribute to Starling's innovative culture. Don't forget to prepare questions to ask during the interview!

How to prepare for a job interview at Starling Bank

✨Understand the Company Culture

Before your interview, take some time to research Starling's culture and values. They emphasise innovation, collaboration, and a flat structure, 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 Thoughtful Questions

Interviews at Starling are conversational, so come armed with questions that show your curiosity about the role and the company. Ask about team dynamics, ongoing projects, or how they measure success in the Data Engineering team.

✨Emphasise Ownership and Initiative

Starling values self-driven individuals who take ownership of their work. Be ready to share examples of how you've taken initiative in previous roles, whether it's optimising processes or leading a project from start to finish.

Data Engineer - Data Infrastructure
Starling Bank
Location: London
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  • Data Engineer - Data Infrastructure

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • S

    Starling Bank

    500-1000
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