At a Glance
- Tasks: Lead a dynamic team to build scalable data and AI platforms.
- Company: Join Checkout.com, a fast-growing tech company revolutionising payment solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career development and mentorship.
- Why this job: Make a real impact in the world of data and AI while leading innovative projects.
- Qualifications: Proven experience in leading data teams and technical architecture.
The predicted salary is between 80000 - 100000 £ per year.
Checkout.com is looking for an ambitious Senior Engineering Manager to join our Data and AI Platform Team. Our team’s mission is to ultimately provide all the tools and platforms that enable data and AI to be easily leveraged for the benefit of our products, merchants, and internal collaborators and teams. We are focused on maximizing the time other teams spend solving business problems and innovating while minimizing the time spent on technical details around implementation, deployment and monitoring of their data and AI solutions. We build for scale; much of what we design and implement today will serve hundreds of teams and petabyte‑level volumes of data.
Key Responsibilities
- Lead the team in establishing and validating their understanding of technical architecture and designing end‑user centric systems and tools.
- Lead technical delivery and operational reliability by automating processes including monitoring and alerting, meeting SLAs/SLOs, and minimizing toil to ensure high‑performance, scalable engineering excellence.
- Manage a team of Junior and Senior Data Engineers while also being hands‑on when needed.
- Cultivate an environment where every team member feels included while mentoring them in career development and interpersonal skills.
- Oversee quarterly execution of roadmap delivery, ensuring the team focuses on the right priorities and efficiently manages dependencies and cross‑functional hurdles.
- Collaborate with Engineering and provide solutions to internal clients for data platform use cases.
- Build and improve strong relationships with engineers, managers, and product leads across multiple teams.
- Ensure compliance with regulatory controls from internal stakeholders such as InfoSec and Internal Audit as well as external auditors and regulators. Experience working in regulated industries is critical.
- Oversee AI use‑cases and lead the team to develop the infrastructure and tooling required to support AI governance and scalable GenAI production environments.
About You
- Experience leading and growing a team of data professionals.
- Experience as a data or software engineer, preferably in a fast‑paced growing company.
- Ability to partner with Product Management to assess technical feasibility, provide capacity estimates, and balance new features with architectural health.
- Excellent time management and proactive problem‑solving skills.
- Experience designing and implementing batch and stream data processing systems.
- Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery).
- Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial.
- Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector databases, RAG pipelines, GPU scaling) is a significant plus.
Senior Engineering Manager - Data Platform Software engineering London employer: Checkout Ltd
Checkout Ltd is an exceptional employer that fosters a dynamic and inclusive work culture, where collaboration and innovation thrive. With a strong focus on employee growth, the company offers ample opportunities for professional development while embracing a hybrid working model that promotes flexibility. Located in London, employees benefit from a vibrant city atmosphere, making it an ideal place for those seeking meaningful and rewarding careers in the legal field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineering Manager - Data Platform Software engineering London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Checkout.com or similar companies. A friendly chat can lead to insider info about the role and even a referral, which can give you a leg up in the hiring process.
✨Tip Number 2
Prepare for the interview by diving deep into the company’s data and AI initiatives. Familiarise yourself with their tech stack and think of how your experience aligns with their goals. This shows you're genuinely interested and ready to contribute from day one!
✨Tip Number 3
Don’t just focus on technical skills; showcase your leadership abilities too! Be ready to discuss how you've managed teams, mentored others, and fostered an inclusive environment. They want to see that you can lead and inspire as well as code.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about joining the team. Let’s get you that dream job!
We think you need these skills to ace Senior Engineering Manager - Data Platform Software engineering London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Engineering Manager role. Highlight your leadership experience, technical expertise, and any relevant projects you've worked on that showcase your ability to manage data platforms.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of how you've led teams or delivered successful projects in the past. This is your chance to show your personality and enthusiasm for the role!
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like SQL, AWS, and Docker. If you’ve worked with AI platforms or have knowledge of data processing systems, make sure to include that too. We want to see how your technical background fits into our mission.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Checkout Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, AWS, and Docker. Brush up on your experience with data processing systems and AI platforms, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Highlight your ability to mentor junior engineers and foster an inclusive environment. This role is all about managing people, so be ready to discuss your leadership style and how you handle team dynamics.
✨Understand the Business Impact
Be prepared to discuss how your technical decisions can drive business outcomes. Think about how you can help other teams innovate while minimising technical overhead. Showing that you understand the bigger picture will impress your interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data and AI strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
