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For Companies At a Glance
- Tasks: Design and build scalable data pipelines for cutting-edge AI authentication.
- Company: Exciting AI startup redefining security with biometric technology.
- Benefits: Competitive salary, leadership growth opportunities, and impactful work.
- Why this job: Join a pivotal moment in a fast-growing startup and shape the future of AI.
- Qualifications: Strong data engineering skills in Python, SQL, and cloud platforms.
- Other info: Dynamic environment with a clear path to leadership as the company scales.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Delivery Manager helping organisations obtain top tech talent
Own the Data Function in a High-Growth Behavioural AI Startup
Manchester / Hybrid
The Company
Our client is an ambitious AI startup poised for a significant funding round and entering an exciting phase of global expansion.
The platform is redefining AI and authentication by harnessing biometric signals, from touch patterns and device sensors to behavioural usage data, to deliver seamless, next-generation security. By combining biometric interactions with advanced AI, they create distinctive user profiles that make security both effortless and resilient.
(If you have experience with biometric, sensor-based, or time-series data, we’d love to hear from you!)
This is an opportunity to join right before the company expands globally, at the very moment it transitions from startup to global scale.
The Opportunity
We are seeking a Senior Data Engineer to join at this pivotal moment. For the right person, this is a career-defining role where you will:
- Own the data function end-to-end – designing pipelines, systems, and infrastructure from scratch.
- Build scalable, real-time ML pipelines that fuel behavioural authentication models.
- Shape and curate the company’s entire data strategy, creating the foundations for both product and innovation teams.
- Support the AI function directly – bringing together multiple datasets to power large behavioural models (LBM) and enhance authentication products.
- Grow into leadership – with a clear path to become Head of Data as the business scales.
This isn’t about maintaining existing systems. You’ll be architecting the data backbone of the business.
What You’ll Do
- Data Pipelines: Build scalable ETL/ELT pipelines for behavioural, biometric, and sensor data.
- AI/ML Support: Develop feature stores, standardised datasets, and experimentation frameworks to accelerate model development.
- Architecture & Governance: Design modern cloud-native data lakes/warehouses with strong governance, privacy, and compliance measures.
- Collaboration: Partner closely with AI engineers, product managers, and leadership to align data with business and technical goals.
What You Bring
- Solid data engineering experience with strong foundations in Python, SQL, and the modern data stack (dbt, Airflow, Kafka, etc.).
- Experience with real-time streaming, time-series data, and behaviour/sensor datasets.
- Proven knowledge of cloud platforms (AWS, GCP, or Azure) and data warehouses (Snowflake, BigQuery, Redshift).
- Familiarity with MLOps, data versioning, and reproducibility for AI models.
- A systems-thinking mindset with the ambition to grow into a leadership role.
- Thrive in a fast-paced, scaling startup environment.
Why Join?
- Greenfield ownership – design the data function from the ground up.
- Leadership trajectory – clear path to become Head of Data as the company scales.
- Impact at scale – your work will directly power authentication products used.
- Cutting-edge AI – work on biometric and behavioural data for next-gen security.
- This is more than a job; it’s a chance to define the data backbone of a company that’s changing the future of authentication and a whole new field of AI technology.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
- Industries: Technology, Information and Media
Note: Referrals increase your chances of interviewing at 55 Exec Search.
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AI / ML Senior Data Engineer employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving biometric or sensor data. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and ML. Be ready to discuss how you can contribute to building scalable data pipelines and support AI functions.
✨Tip Number 4
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace AI / ML Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with Python, SQL, and any relevant cloud platforms like AWS or GCP. We want to see how you can own the data function!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background in data engineering makes you a perfect fit for our ambitious AI startup. Let us know how you can contribute to our growth!
Showcase Relevant Projects: If you've worked on projects involving biometric or sensor-based data, make sure to mention them! We love seeing real-world applications of your skills, especially if they relate to building scalable ML pipelines or data governance.
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 this exciting opportunity. Don’t miss out on being part of something groundbreaking!
How to prepare for a job interview at 55 Exec Search
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and the modern data stack. Brush up on your experience with ETL/ELT pipelines and cloud platforms like AWS or GCP, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to building scalable data systems or working with real-time streaming data. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Research the startup's mission and how they’re redefining AI and authentication. Be ready to share your thoughts on their approach to biometric signals and how your skills can contribute to their goals. This shows genuine interest and alignment with their vision.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask at the end of the interview. Inquire about their data strategy, the team dynamics, or how they envision the role evolving as the company scales. This demonstrates your enthusiasm and strategic thinking.
