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- Tasks: Join us as a Data Engineer/MLOps Engineer to build impactful data solutions.
- Company: Cleo is a fast-growing fintech unicorn on a mission to revolutionise financial access.
- Benefits: Enjoy flexible working, competitive pay, generous leave, and a supportive culture.
- Why this job: Be part of a transformative team that values collaboration and real-world impact.
- Qualifications: Strong Python skills, data system design knowledge, and experience with containerisation required.
- Other info: We encourage diverse applicants and offer remote work options for flexibility.
The predicted salary is between 36000 - 60000 £ per year.
At Cleo, we are embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. Cleo is a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. We have an exceptionally high bar for talent, seeking individuals who embody our culture of collaboration and positive impact.
We are hiring a Data Engineer / MLOps Engineer to support Cleo's product teams in delivering impactful data-driven solutions. In this role, you will help teams adopt our internal Data Platform, build efficient data pipelines, and deploy machine learning models effectively at scale. You will serve as a bridge between product teams and our Data Platform team, ensuring tools and infrastructure meet real-world needs and continuously evolve.
What you will do:
- Collaborate closely with product teams to implement robust, scalable data pipelines and ML workflows.
- Guide teams in adopting best practices around data engineering, infrastructure management, and MLOps.
- Surface practical insights from product teams to inform improvements in our internal Data Platform.
- Contribute actively to enhancing our data and ML infrastructure—focusing on usability, efficiency, reliability, and cost-effectiveness.
- Mentor and support engineers and data scientists in data engineering and MLOps best practices.
What you will need:
- Strong knowledge of data system design; ability to break down problems and propose effective solutions.
- Proficiency in Python, with a strong understanding of software engineering best practices (testing, automation, code quality).
- Experience with containerisation and orchestration (Docker and Kubernetes).
- Infrastructure as Code (Terraform or similar).
- Experience with at least one distributed data-processing framework (Spark, Flink, Kafka, etc.).
- Familiarity with different storage solutions (e.g., OLTP, OLAP, NoSQL, object storage) and their trade-offs.
- Product mindset and ability to link technical decisions to business impact.
- Excellent cross-functional communication—able to partner with data scientists, software engineers, and product managers.
Nice-to-Haves:
- Experience with streaming platforms and understanding stream/table transformations.
- Familiarity with ML system deployment and management (Kubeflow, MLflow, Airflow, Flyte, etc.).
- Knowledge of monitoring, alerting, and operational best practices for data-intensive systems.
- Experience with Feature Stores or similar ML data management tools.
What We Offer:
- Competitive compensation (base + equity), with clear progression frameworks and bi-annual reviews.
- Flexible working arrangements—hybrid if you are near London, fully remote elsewhere.
- Generous annual leave (starting at 25 days + public holidays, increasing with tenure).
- Private medical insurance, enhanced parental leave, mental health support, employer-matched pension, and more.
- A genuinely supportive, inclusive culture that encourages professional and personal growth.
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know.
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/MLOps Engineer UK or Poland
✨Tip Number 1
Familiarise yourself with Cleo's mission and values. Understanding their goal of transforming financial relationships will help you align your answers during interviews and demonstrate your passion for their vision.
✨Tip Number 2
Showcase your technical skills by preparing to discuss specific projects where you've implemented data pipelines or MLOps practices. Be ready to explain the challenges you faced and how you overcame them, as this will highlight your problem-solving abilities.
✨Tip Number 3
Network with current or former Cleo employees on LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when tailoring your approach during the application process.
✨Tip Number 4
Prepare thoughtful questions about Cleo's data platform and its future developments. This shows your genuine interest in the role and your proactive mindset, making you stand out as a candidate who is eager to contribute.
We think you need these skills to ace Data Engineer/MLOps Engineer UK or Poland
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Engineer/MLOps Engineer position at Cleo. Tailor your application to highlight how your skills and experiences align with their mission to change humanity's relationship with money.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with data system design, Python programming, and any relevant tools like Docker, Kubernetes, or Terraform. Be specific about projects where you've implemented scalable data pipelines or ML workflows.
Showcase Collaboration Skills: Cleo values collaboration across teams. Use your application to demonstrate your ability to work with product teams, data scientists, and software engineers. Provide examples of how you've successfully communicated technical concepts to non-technical stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for Cleo's mission. Discuss why you're excited about the opportunity to contribute to a company that's making a real difference in financial health.
How to prepare for a job interview at cleo
✨Understand Cleo's Mission
Before the interview, take some time to research Cleo's mission and values. Understand how they aim to change humanity's relationship with money and think about how your skills as a Data Engineer/MLOps Engineer can contribute to this vision.
✨Showcase Your Technical Skills
Be prepared to discuss your technical expertise in data system design, Python, and containerisation tools like Docker and Kubernetes. Have specific examples ready that demonstrate your experience with distributed data-processing frameworks and Infrastructure as Code.
✨Emphasise Collaboration
Cleo values collaboration across teams. Be ready to share experiences where you successfully worked with product teams or other engineers to implement data solutions. Highlight your communication skills and how you can bridge gaps between technical and non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of scenarios where you've had to break down complex problems and propose effective solutions. This will showcase your analytical skills and your ability to think critically under pressure.
