At a Glance
- Tasks: Build and evolve high-impact data pipelines in a cloud-native environment.
- Company: Join iProov, a leader in biometric identity assurance.
- Benefits: Enjoy competitive salary, flexible working, and extensive health perks.
- Other info: Dynamic culture that values diversity and innovation.
- Why this job: Make a real impact on secure digital onboarding and authentication.
- Qualifications: Experience in Python, Google Cloud, and collaborative coding practices.
The predicted salary is between 50000 - 65000 € per year.
Location: London, United Kingdom
Salary: £50,000 - £65,000 /year
Job Type: Full-time
Date Posted: December 12th, 2025
About iProov
iProov provides science-based biometric solutions that enable the world's most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance.
This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose.
The Role
Reports to: Head of Data Analytics & Business Intelligence
Location: London, UK - Hybrid
Compensation: £50k-£65k (base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits
This is an exciting opportunity for a software engineer who loves working with data to help build and evolve reliable, high-impact data pipelines and reporting platforms, using modern technologies in a cloud-native environment. You'll take real ownership of data quality, resilience and innovation while collaborating with talented teams to deliver trusted insights at scale.
How you can make an impact
- Advance our data warehousing and reporting capabilities, moving the team from "building mode" to "scaling mode."
- Share the responsibility for platform uptime, helping to harden pipelines, improve observability, and ensure systems can handle increasing data volume without manual intervention.
- Contribute to a high-quality codebase through peer code reviews and documentation, helping to maintain a culture of clean, reusable, and tested code.
- Act as a technical liaison for the Science and Analytics members of the team, translating their complex requirements into efficient GCP infrastructure and Kubernetes deployments.
- Proactively identify bottlenecks in our existing flows & implement modern solutions.
What we would like to see from you
- A proven track record of writing clean, modular Python in a professional team environment, with the ability to read, debug, and improve existing codebases.
- Hands-on experience with Google Cloud Platform data services, including containerized applications (Kubernetes/Docker) and orchestration tools (Airflow/Composer).
- Experience with Git workflows, pull requests, and CI/CD pipelines, with a clear understanding that great engineering is a collaborative team sport.
- Comfort interacting with both MongoDB (NoSQL) and SQL warehouses, including an understanding of how to handle schema evolution and data consistency across different systems.
- Strong debugging skills and a desire to find root causes rather than just patching errors.
- Motivation to deliver features quickly while caring about the long-term health of the platform, and a willingness to constructively challenge processes to improve team velocity.
Benefits
- 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service)
- Growth Shares allocated after passing probation (6 months of service)
- Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme
- Nursery Sacrifice Scheme
- Work Overseas Perk - Work globally for up to 2 weeks
- Life Assurance
- SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family
- Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist
- Award winning L&D platform with personal allocated training budgets
- Enhanced paid family leave
- Pension - 5% employee, 3% employer
- Flexible hybrid working environment
- Free Barista Coffee/Tea, biscuits with fruit in the WeWork office
- Free access to WeWork discounts and free online well-being sessions
- Vitality Health - a range of options available
Our Culture & Recruitment Process
At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We're a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected.
As an equal opportunities employer, we encourage applications from people of all backgrounds. We're committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world.
Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to careers@iproov.com.
Data Engineer employer: iProov
iProov is an exceptional employer located in London, offering a vibrant work culture that prioritises diversity, inclusion, and employee growth. With a strong focus on innovation and collaboration, employees benefit from generous perks such as flexible hybrid working, extensive health and wellness programmes, and personalised career coaching, all while contributing to cutting-edge biometric technology that enhances security for organisations worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current iProov employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for those interviews! Research iProov’s tech stack and be ready to discuss how your experience with Python, GCP, and data pipelines can make an impact. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart. Let us see your coding skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, Google Cloud Platform, and any relevant projects that showcase your skills. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission at iProov. Keep it engaging and personal – we love hearing your story!
Showcase Your Projects:If you've worked on any cool data projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. We’re keen to see your coding style and problem-solving skills in action.
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 you’re serious about joining our team!
How to prepare for a job interview at iProov
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Google Cloud Platform, and Kubernetes. Brush up on your knowledge of data warehousing and how to handle schema evolution, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified bottlenecks in data flows or improved existing systems. Highlight your debugging skills and your approach to finding root causes rather than just patching errors.
✨Emphasise Collaboration
Since great engineering is a team sport, be ready to talk about your experience with Git workflows, code reviews, and CI/CD pipelines. Share how you’ve worked with cross-functional teams to translate complex requirements into effective solutions.
✨Cultural Fit Matters
iProov values diversity and inclusion, so be prepared to discuss how your background and experiences can contribute to their culture. Show that you’re not just a technical fit but also someone who aligns with their values of equality and innovation.
