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For Companies At a Glance
- Tasks: Lead a team in stream processing, ensuring real-time data solutions.
- Company: Wise is a global tech company revolutionising money management.
- Benefits: Enjoy competitive salary, RSUs, and a diverse, inclusive workplace.
- Why this job: Join a mission-driven team focused on impactful technology and innovation.
- Qualifications: Strong Java development skills and experience with cloud platforms required.
- Other info: Explore our tech culture on the Wise Engineering Medium blog.
The predicted salary is between 80000 - 120000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money.
We are looking for a technical lead with a background in stream processing technologies. Our Stream Processing team is part of the Data Squad. We provide the tooling and infrastructure that allows Wise to process transfers in real time. Our platform enables services to perform calculations and make decisions in milliseconds, powering validation, fraud detection, and anti-money laundering checks. We also manage data movement into our data lake, supporting data-driven decisions across teams.
Responsibilities
- Lead and mentor a high-performing team, ensuring delivery of high-impact solutions.
- Contribute technically through hands-on engineering and systems operations.
- Collaborate with other leads, engineers, and product managers.
- Address big-picture challenges across analytics, engineering, and business domains.
Working Style
We emphasize automation, reusable design, and holistic ecosystem thinking. The lead will help sustain team growth by iterating on services, focusing on availability, security, and usability. The role requires analyzing complex requirements and delivering simple, effective solutions.
Minimum Requirements
- Strong development experience in Java and solid understanding of system design principles.
- Experience with cloud platforms like AWS or GCP, and infrastructure development.
- Knowledge of high availability, scalability, and security concepts.
- Experience with stream processing frameworks such as Kafka Streams or Flink, and stateful pipelines at scale.
Preferred Skills
- Passion for technology and user experience.
- Understanding of security principles and privacy considerations.
- Customer-centric decision-making.
- Ability to communicate complex technical ideas clearly.
- Experience with configuration management, CI/CD, Infrastructure as Code, containers, and orchestration tools.
- Building infrastructure automation with Kubernetes operators.
Additional Information
Salary: £100,000-£125,000 + RSU. Wise offers benefits and promotes diversity, equity, and inclusion.
Application Details
Interested? Find out more about Wise's tech stack, infrastructure, and engineering culture on our Medium blog: Wise Engineering.
Stream Processing Engineering Lead employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Stream Processing Engineering Lead
✨Tip Number 1
Familiarise yourself with the specific stream processing technologies mentioned in the job description, such as Kafka Streams and Flink. Being able to discuss your hands-on experience with these frameworks during interviews will demonstrate your technical expertise and alignment with the role.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully mentored teams or led projects in the past. This will help you stand out as a candidate who can not only contribute technically but also guide others in achieving high-impact solutions.
✨Tip Number 3
Research Wise's tech stack and engineering culture through their Medium blog. Understanding their approach to automation, security, and user experience will allow you to tailor your discussions and show that you're genuinely interested in their mission and values.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or GCP, as well as your knowledge of infrastructure development. Be ready to explain how you've implemented high availability and scalability in previous projects, which is crucial for the role.
We think you need these skills to ace Stream Processing Engineering Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Stream Processing Engineering Lead position. Familiarise yourself with stream processing technologies and the specific tools mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in Java development, cloud platforms, and stream processing frameworks like Kafka Streams or Flink. Emphasise your leadership skills and any experience mentoring teams, as this is a key aspect of the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and user experience. Discuss how your background aligns with Wise's mission and how you can contribute to their goals, particularly in terms of automation and system design.
Showcase Your Technical Skills: In your application, provide examples of your technical expertise, especially in areas like infrastructure development, CI/CD, and Kubernetes. Use specific projects or achievements to demonstrate your ability to deliver high-impact solutions.
How to prepare for a job interview at Wise
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with stream processing technologies, particularly Kafka Streams or Flink. Highlight specific projects where you've implemented these frameworks and how they contributed to the success of your team.
✨Demonstrate Leadership Skills
As a Stream Processing Engineering Lead, you'll need to lead and mentor a team. Share examples of how you've successfully guided teams in the past, focusing on your approach to fostering collaboration and delivering high-impact solutions.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. This is crucial for collaborating with product managers and other leads. Use real-world examples to illustrate your points and ensure your communication is customer-centric.
✨Understand the Bigger Picture
Prepare to discuss how your work impacts the broader business goals. Be ready to address challenges across analytics, engineering, and business domains, demonstrating your ability to think holistically about the ecosystem.
