At a Glance
- Tasks: Lead design and implementation of cloud-native Warehouse and Machine Learning platforms.
- Company: Starling Bank offers a hybrid working model with a focus on collaboration in person.
- Benefits: Enjoy 25 days holiday, private medical insurance, and access to wellness initiatives.
- Other info: The role requires attending the office at least once a week.
- Why this job: Join a team passionate about delivering impactful insights in the banking sector.
- Qualifications: Proficient in Kubernetes, Python or Java, and experienced with AWS or GCP.
The predicted salary is between 60000 - 80000 £ per year.
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 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.
What You’ll Be Doing
- Building for Scale: You will lead the design and implementation of our cloud‑native Warehouse and Machine Learning platforms, ensuring they are robust, secure, and scalable.
- Mastering the Orchestration: You’ll dive deep into Kubernetes, leveraging Operators and Helm to automate complex data workflows and platform management. Building out kube native data and AI architecture.
- Bridging the Clouds: You will improve our existing tooling and implement new, seamless integrations between our AWS and GCP environments.
- Defining our State: You’ll use Terraform to manage and define our entire data infrastructure through code, ensuring reproducibility and transparency across the stack.
Requirements
- K8s Expertise: You have a solid understanding and practical experience with Kubernetes, specifically working with Operators and Helm to manage complex application lifecycles.
- The Engineer’s Mindset: You are proficient in Python or Java and enjoy writing clean, efficient code to solve infrastructure challenges.
- Cloud Native: You are comfortable working in at least one of the major cloud providers (AWS or GCP) and understand how to get the best out of their managed services.
- Optimising and refine: current data infrastructure, and deploying greenfield kube native OSS projects.
Bonus Points
- 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.
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 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.
Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace.
Data Platform Engineer in Cardiff employer: Starling
Starling Bank is located in the UK and promotes diversity and inclusion in the workplace. Employees benefit from generous family-friendly policies and a supportive environment for personal development. The company also offers perks like a Cycle to Work scheme and discounts with various partners.
