Data Platform Engineer - Database Platform - Python at Wise

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

87500.0

Posted On

14 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, GCP, Terraform, Ansible, CI/CD, YugabyteDB, Distributed Databases, Platform Engineering, Database-as-a-Service, Cloud APIs, Teleport

Industry

Financial Services

Description

Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. More about our mission and what we offer. Job Description About the role You’ll work on high-scale systems used by hundreds of engineers, shaping how we run databases globally through automation, observability, and platform thinking - developing the internal database platform, automation, and tooling that powers hundreds of databases across multiple environments. Our team provides “Databases as a Service” to the rest of Wise, managing a critical database estate of ~1,000 instances. You’ll design and build the systems, tooling, and automation that make this possible - ensuring reliability, scalability, and security at every step. We’re looking for a Platform Engineer (IC2 level) to join our Database Platform team. You’ll help build and operate a global platform that’s scalable, reliable, and secure - developing the internal database platform, automation, and tooling that powers hundreds of databases across multiple environments. You’ll work on high-scale systems used by hundreds of engineers, shaping how we run databases globally. Our team provides “Databases as a Service” to the rest of Wise, managing a critical database estate of ~1,000 instances. You’ll design and build the systems, tooling, and automation that make this possible - ensuring reliability, scalability, and security at every step. We are evaluating YugabyteDB as our distributed SQL engine; this role will contribute to validating, automating and operating Yugabyte-based platform components under the guidance of senior engineers and the platform programme team. How we work We believe in automation, programmatic implementation, and reusable design. You’ll think holistically about the ecosystem, while also delivering real solutions - collaborating across the Platform tribe to make our systems more resilient and developer-friendly. As we scale, we need engineers who can simplify complex infrastructure, build guardrails, and deliver platforms that help product teams move fast - without compromising reliability or security. You’ll work closely with other Platform and Data teams to ensure best practices are followed and the right abstractions are in place. What you’ll do Design, build, and evolve our internal cloud-based database platform. Contribute to the design, validation and rollout of YugabyteDB-based platform components (PoC → pilot → production) in collaboration with senior engineers. Implement automation for provisioning, upgrades, backups and routine operations for Yugabyte clusters. Help embed security and compliance controls (encryption, auth, RBAC, network controls) into Yugabyte platform components. Collaborate with product teams, SREs and DBAs to apply platform guardrails for services adopting Yugabyte. What you’ll need Essential 2+ years of Platform Engineering experience (not software-only). Experience with cloud infrastructure (AWS or GCP). Python development skills (or similar). Solid understanding of software engineering principles - writing secure, testable, maintainable code. Proficiency with Cloud APIs and DevOps tooling (Terraform, Ansible, CI/CD, Teleport). Clear communicator who collaborates well across teams. Highly sought Practical experience with distributed databases at scale (YugabyteDB preferred, or CockroachDB/TiDB/Cloud Spanner). Experience or strong interest in implementing migration patterns (CDC/logical replication, verification and rollback) and automation for provisioning, backups and upgrades. Experience building Database-as-a-Service platforms or internal developer tooling. (Optional) Some front-end development experience. Why join us You’ll be part of a team that empowers hundreds of developers to build reliable services faster, with modern tooling and infrastructure at scale. The systems you design will directly impact the availability, performance, and safety of our customers’ data worldwide. You’ll join a collaborative team that values technical excellence, learning, and continuous improvement. Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update) Our Engineering career map Scaling our Infrastructure; how we make it work Wise Engineering – https://medium.com/wise-engineering What do we offer: Starting salary: £68000-£87500 + RSUs Wise Benefits #LI-AB3 #LI-Hybrid Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram. Compensation: GBP 68000 - GBP 87500 - yearly

Responsibilities

Design and build an internal cloud-based database platform to provide Database-as-a-Service for hundreds of engineers. Implement automation for provisioning, upgrades, and backups, specifically focusing on the rollout of YugabyteDB.