Starling is the UK's first and leading digital bank, dedicated to fixing banking with high‑tech, fair service, and honest values. All of this is available at the tap of a phone, anytime.
Hybrid Working
We have a hybrid approach to working. We prefer employees to be located within a commutable distance of one of our offices so we can interact and collaborate in person. In Technology, we ask you to attend the office at least one 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. They deliver meaningful and impactful insights to the business and our customers.
What you’ll be doing
- Building for Scale: lead the design and implementation of our cloud‑native warehouse and machine‑learning platforms, ensuring they are robust, secure, and scalable.
- Mastering the Orchestration: dive deep into Kubernetes and use Operators and Helm to automate complex data workflows and platform management, building out kube‑native data and AI architecture.
- Bridging the Clouds: improve existing tooling and implement new, seamless integrations between AWS and GCP environments.
- Defining our State: use Terraform to manage and define our entire data infrastructure through code, ensuring reproducibility and transparency across the stack.
Requirements
- K8s Expertise: solid understanding and practical experience with Kubernetes, specifically working with Operators and Helm to manage complex application lifecycles.
- The Engineer’s Mindset: proficiency in Python or Java, writing clean, efficient code to solve infrastructure challenges.
- Cloud Native: comfortable working in at least one major cloud provider (AWS or GCP) and able to get the best out of their managed services.
- Optimising and refining current data infrastructure, and deploying greenfield kube‑native OSS projects.
What we’re looking for
- K8s Expertise: as above.
- The Engineer’s Mindset: as above.
- Cloud Native: as above.
- Optimising and refining data infrastructure, and deploying greenfield kube‑native OSS projects.
Bonus points if you have
- Experience with SQL‑based transformation workflows, specifically using dbt within BigQuery.
- Familiarity with streaming and ingestion tech like Kafka or Debezium.
- A background in Linux administration or data management best practices.
Interview process
- 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 mins final with two data executives.
Benefits
- 25 days holiday (plus public holiday allowance).
- Extra day’s holiday for your birthday.
- Annual leave increases with length of service; you can buy or sell up to five extra days off.
- 16 hours paid volunteering time a year.
- Salary sacrifice and company‑enhanced pension scheme.
- Life insurance at 4x your salary and group income protection.
- Private medical insurance with VitalityHealth, including mental health support and cancer care; partner benefits with Waitrose, Mr & Mrs Smith and Peloton.
- Generous family‑friendly policies.
- Perkbox membership giving access to retail discounts and a wellness platform.
- Initiatives such as Cycle to Work, salary‑sacrifice gym partnerships and electric‑vehicle leasing.
About Us
We’re on a mission to radically reshape banking, and that starts with our brilliant team. We value people who are engaged, caring about customers, and who write clean code. We bring together people of all backgrounds and experiences who love working together to solve problems.
Equality & Inclusion
Starling Bank is an equal opportunity employer. Individuals seeking employment 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 consent to the processing of personal data in accordance with our Privacy Notice.
#J-18808-Ljbffr”, “datePosted”: “2026-05-18”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Starling”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__435628007__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }Starling is the UK’s first and leading digital bank, dedicated to fixing banking with high‑tech, fair service, and honest values. All of this is available at the tap of a phone, anytime.
Hybrid Working
We have a hybrid approach to working. We prefer employees to be located within a commutable distance of one of our offices so we can interact and collaborate in person. In Technology, we ask you to attend the office at least one 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. They deliver meaningful and impactful insights to the business and our customers.
What you’ll be doing
- Building for Scale: lead the design and implementation of our cloud‑native warehouse and machine‑learning platforms, ensuring they are robust, secure, and scalable.
- Mastering the Orchestration: dive deep into Kubernetes and use Operators and Helm to automate complex data workflows and platform management, building out kube‑native data and AI architecture.
- Bridging the Clouds: improve existing tooling and implement new, seamless integrations between AWS and GCP environments.
- Defining our State: use Terraform to manage and define our entire data infrastructure through code, ensuring reproducibility and transparency across the stack.
Requirements
- K8s Expertise: solid understanding and practical experience with Kubernetes, specifically working with Operators and Helm to manage complex application lifecycles.
- The Engineer’s Mindset: proficiency in Python or Java, writing clean, efficient code to solve infrastructure challenges.
- Cloud Native: comfortable working in at least one major cloud provider (AWS or GCP) and able to get the best out of their managed services.
- Optimising and refining current data infrastructure, and deploying greenfield kube‑native OSS projects.
What we’re looking for
- K8s Expertise: as above.
- The Engineer’s Mindset: as above.
- Cloud Native: as above.
- Optimising and refining data infrastructure, and deploying greenfield kube‑native OSS projects.
Bonus points if you have
- Experience with SQL‑based transformation workflows, specifically using dbt within BigQuery.
- Familiarity with streaming and ingestion tech like Kafka or Debezium.
- A background in Linux administration or data management best practices.
Interview process
- 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 mins final with two data executives.
Benefits
- 25 days holiday (plus public holiday allowance).
- Extra day’s holiday for your birthday.
- Annual leave increases with length of service; you can buy or sell up to five extra days off.
- 16 hours paid volunteering time a year.
- Salary sacrifice and company‑enhanced pension scheme.
- Life insurance at 4x your salary and group income protection.
- Private medical insurance with VitalityHealth, including mental health support and cancer care; partner benefits with Waitrose, Mr & Mrs Smith and Peloton.
- Generous family‑friendly policies.
- Perkbox membership giving access to retail discounts and a wellness platform.
- Initiatives such as Cycle to Work, salary‑sacrifice gym partnerships and electric‑vehicle leasing.
About Us
We’re on a mission to radically reshape banking, and that starts with our brilliant team. We value people who are engaged, caring about customers, and who write clean code. We bring together people of all backgrounds and experiences who love working together to solve problems.
Equality & Inclusion
Starling Bank is an equal opportunity employer. Individuals seeking employment 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 consent to the processing of personal data in accordance with our Privacy Notice.
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