At a Glance
- Tasks: Join our Analytics Platform team to enhance data infrastructure and ensure high performance.
- Company: Wise is a global tech company revolutionising how money moves across borders.
- Benefits: Enjoy flexible working options, a diverse team, and opportunities for personal growth.
- Why this job: Be part of a mission-driven company that values innovation and customer satisfaction.
- Qualifications: 4+ years in engineering with skills in cloud services, container tech, and data systems.
- Other info: Diversity and inclusion are at our core; we celebrate differences and empower all team members.
The predicted salary is between 43200 - 72000 £ per year.
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.
About the role
Our team: the Analytics Platform team, on the Data Squad. For our customers, using Wise is as simple as sending money from A to B. Yet behind our app and website is a complex engine of currencies, routes, products and features, generating terabytes of data each day. The Data services offered by the Data Squad is at the core of systems that store, process and leverage this data, ultimately providing real-time decision-making capabilities that serve as one of many drivers for business growth.
As a Platform Engineer, you will be integral to maintaining and enhancing the data platform's infrastructure to ensure high performance, scalability, and reliability. You will have the opportunity to leverage technologies, such as Airflow, Iceberg, and Trino, to drive strategic initiatives and support the evolving needs of our organisation. We also manage a deployment of PipelineWise, an initiative which started with this team, as well our Snowflake-based data warehouse governance and the analytics dashboarding tools we have in place. These systems are deployed either on an internally run Kubernetes cluster or run by the team on AWS components, eventually to be ported across to internally maintained solutions. We’re now starting off the migration to an orchestrated solution (K8s-based) and we need help to achieve this!
How we work
At Wise we believe in automation, programmatic implementation, and reusable design. We’re looking for people who can step back and think holistically about the ecosystem, but also follow through and help implement the design; drawing on the resources across the rest of the platform tribe. As we grow, we must prioritise protecting our customers’ money and there are many challenges when it comes to meeting regulatory requirements worldwide. You will have a focus on running and maintaining the analytics services, making sure we have the right observability and service management elements in place, with an eye for high-availability, assessing and reducing engineering load and devising more effective ways for the team to look after its cloud-based platform. We need to sustain this growth by continuously iterating on the services we run, with a focus on availability, security, and ease of use. We’re looking for an engineer with relevant experience who can analyse complex requirements and deliver simple solutions to help our teams achieve our mission with speed and confidence. We are looking for candidates with a minimum of 4 years of relevant experience for this role. Whilst we appreciate all applications, please note that candidates who do not meet this requirement will not be considered.
What will you be working on?
- Maintain and enhance the infrastructure supporting the data platform, ensuring high performance and availability.
- Ensure the reliability and scalability of data flows across various systems and services.
- Implement robust observability and alerting frameworks using tools such as Prometheus and Grafana.
- Collaborate with cross-functional teams, including Analytics Experience and Data Governance, to ensure alignment in data serving and consumption patterns.
- Help establish and maintain high-standard service level agreements (SLAs) for data availability, system responsiveness, and incident management.
- Participate in the development and improvement of onboarding processes to promote a seamless user experience.
- Design, execute, and support the ELT move to an orchestrated Airflow deployment.
What do you need?
If you have some of the skills listed below and are eager to learn more we do want to hear from you!
- Experience as an engineer during which you developed skills in container technologies like Docker or Kubernetes.
- Infrastructure-as-code is a necessity of our daily operations, Wise uses Terraform but it’s more important the candidate is familiar with the concept and prioritises this practice in his/her work.
- Experience running large data systems and production services in the cloud (AWS preferred).
- Strong fundamentals in distributed systems design and development.
- Familiarity with GitOps and Airflow is a big plus.
- Proficiency in one or more programming languages (Python or Java preferred).
- A good understanding of relational databases, big data, and stream processing technologies.
- Good grasp of fundamental software engineering practices like good design documentation, unit testing, peer code reviews, and a preference for agile methods.
- Communication, presentation, interpersonal and organisational skills to communicate effectively new processes and workflows, and interact with teams from different areas of the organisation.
Nice to Have
- Experience with tooling in the Observability space such as Grafana (other tools like New Relic or Kibana, etc., are also taken into consideration).
- Familiarity with deploying and/or managing Analytics tools such as Looker and Superset.
- Experience in building self-service tooling within the organisation that helps engineers, analysts or data scientists do their job more efficiently.
Interested? Find out more:
What do we offer:
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. Keep up to date with life at Wise by following us on.
Please note that if you are NOT a passport holder of the country for the vacancy you might need a work permit. Check our Blog for more information. Bank or payment details should not be provided when applying for a job. All applications should be made via the 'Apply now' button.
Platform Engineer - Analytics employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer - Analytics
✨Tip Number 1
Familiarise yourself with the technologies mentioned in the job description, such as Airflow, Iceberg, and Trino. Having hands-on experience or projects showcasing these tools can significantly boost your chances of standing out.
✨Tip Number 2
Engage with the Wise community on platforms like LinkedIn or Twitter. Following their updates and interacting with their posts can help you understand their culture and values, which is crucial for aligning your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience with cloud services, particularly AWS, and how you've implemented infrastructure-as-code practices. Be ready to share specific examples of how you've improved system performance or reliability in past roles.
✨Tip Number 4
Showcase your problem-solving skills by preparing to discuss complex engineering challenges you've faced. Think about how you approached these issues and the impact your solutions had on your previous teams or projects.
We think you need these skills to ace Platform Engineer - Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience, especially in areas like container technologies, cloud services, and data systems. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about working at Wise and how your skills align with their mission. Mention specific technologies or projects you've worked on that relate to the role.
Showcase Your Technical Skills: Be explicit about your technical skills in your application. Include your experience with tools like Terraform, Airflow, and any programming languages you are proficient in, such as Python or Java.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you communicated effectively and contributed to team success in previous roles.
How to prepare for a job interview at Wise
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as Airflow, Iceberg, and Trino. Be prepared to discuss how you have used similar tools in your previous roles and how they can be applied to enhance Wise's data platform.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved in past engineering roles. Focus on how you approached the problem, the solutions you implemented, and the impact it had on the project or team. This will demonstrate your analytical skills and ability to deliver simple solutions.
✨Highlight Your Experience with Cloud Services
Since the role involves working with AWS and cloud-based platforms, be ready to discuss your experience managing large data systems in the cloud. Share specific projects where you ensured high performance and reliability, and how you tackled challenges related to scalability.
✨Emphasise Collaboration and Communication
The role requires collaboration with cross-functional teams, so be prepared to discuss your experience working in diverse teams. Highlight your communication skills and how you've effectively shared processes and workflows with different stakeholders to achieve common goals.