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- Tasks: Design and own data infrastructure for innovative AI models in a fast-paced environment.
- Company: Join a pioneering behavioural AI company transforming digital security.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Lead the data function and make a real impact on cutting-edge authentication technology.
- Qualifications: 5+ years in data engineering with expertise in Python, SQL, and cloud platforms.
- Other info: Dynamic startup culture with excellent career advancement potential.
The predicted salary is between 70000 - 90000 £ per year.
Base pay range
Salary – £70,000 – £90,000 base, dependent on experience
Location – Remote with occasional travel when required
We are seeking a talented Senior Data Engineer to join an innovative behavioural AI company that is transforming authentication. This is a high-impact role where you will design and own the data infrastructure that powers cutting-edge AI models.
We are seeking a driven individual to design and own our client’s entire data ecosystem. You’ll create the pipelines, tools, and infrastructure that power their AI models, laying the foundations of a system that doesn’t yet exist.
Joining at a pivotal growth stage, you’ll take responsibility for everything from data collection to model training workflows, with the chance to shape the company’s data strategy and ultimately lead the function as the business scales.
What You’ll Do
- Build scalable ETL/ELT pipelines for behavioural biometric and sensor data
- Develop real-time and batch processing for authentication workflows
- Implement automated data validation and monitoring systems
- ML Infrastructure & Support
- Create feature stores and standardised datasets for machine learning
- Create standardised datasets and data formats for model training and evaluation
- Implement data versioning and lineage tracking for reproducible model development
- Develop experimentation infrastructure to support A/B testing and model evaluation
- Design data warehouse/lake architecture solutions with modern cloud platforms
- Establish governance practices and privacy controls for sensitive data
- Create monitoring and alerting systems for data quality and pipeline health
- Implement security measures and compliance frameworks for sensitive behavioural data
- Cross-functional Collaboration
- Work closely with AI engineers to optimise data for model performance
- Partner with software engineers to integrate data systems with authentication APIs
- Support product and business teams with metrics, reporting, and analytics
What We’re Looking For
- Experience: Minimum 5+ years in data engineering or related roles
- Technical Skills:
- Python & SQL expertise
- Cloud platforms (AWS, GCP, or Azure)
- Data warehouses (Snowflake, BigQuery, Redshift)
- Containerization (Docker, orchestration tools)
- Experience with machine learning data pipelines, MLOps, real-time streaming, and mobile/sensor data
- Experience with real-time streaming data processing (Kafka, Kinesis, Pub/Sub)
- Familiarity with privacy-preserving technologies and GDPR compliance
- Understanding of time-series data and sensor data processing
- Systems thinker who can design scalable, maintainable architecture
- Skilled at collaborating with ML engineers and product teams
- Problem-solver with strong attention to data quality
- Thrives in a fast-moving startup environment
- Excellent communicator, technical and non-technical alike
- Growth-oriented, with the ambition to lead a data function
Why Join?
This is a chance to own the entire data function in a company that is redefining digital security through behavioural AI. You’ll play a pivotal role in building infrastructure that directly impacts cutting-edge authentication models, while setting the stage for future growth and leadership.
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Senior Data Engineer (AI / ML) employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (AI / ML)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AI/ML. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to Python, SQL, and cloud platforms. Practice explaining your past projects and how they relate to the role you're applying for – it’s all about making that connection!
✨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 Senior Data Engineer (AI / ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant projects that showcase your skills in AI and ML. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about behavioural AI and how your background aligns with our mission. Be sure to mention specific experiences that demonstrate your problem-solving skills and technical expertise.
Showcase Your Technical Skills: In your application, don’t forget to highlight your technical skills, especially in Python, SQL, and cloud platforms like AWS or GCP. We’re looking for someone who can hit the ground running, so make it clear how your skills match the job requirements.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at 55 Exec Search
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and the cloud platforms mentioned in the job description. Brush up on your experience with data warehouses and real-time streaming data processing. Being able to discuss specific projects where you've implemented these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Think about times when you had to optimise data pipelines or ensure data quality. This will demonstrate your ability to think critically and solve problems effectively.
✨Understand the Business Impact
Familiarise yourself with how data engineering supports AI models and authentication workflows. Be ready to discuss how your work can directly impact the company's goals and growth. Showing that you understand the bigger picture will set you apart from other candidates.
✨Be Ready for Collaboration Questions
Since this role involves working closely with AI engineers and product teams, prepare to discuss your experience in cross-functional collaboration. Think of examples where you’ve successfully partnered with others to achieve a common goal, as this will highlight your teamwork skills.
