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- Tasks: Design and maintain scalable data pipelines for advanced analytics and machine learning.
- Company: Lift, a leading audience management platform in the iGaming industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data intelligence in the iGaming sector.
- Qualifications: Experience in data engineering, Snowflake, and AWS required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Who is Lift? lift® is the only audience management platform built specifically for the iGaming industry. Designed to help operators capture, segment and activate their first‑party data, Lift enables smarter, data‑driven campaign decisions that maximise ROI across programmatic, search and social media channels. With advanced machine learning and a deep understanding of player behaviour, we empower brands to deliver full‑funnel marketing strategies for acquisition and retention – globally.
The role We are searching for a Senior Data Engineer to join Lift’s data engineering team and help extend our data platform into advanced analytics and machine learning. Our team is already building the core data pipelines and reporting infrastructure. This role will focus on developing the next layer of data intelligence, including audience modelling, behavioural analysis, and predictive systems.
The role focuses on transforming high volume AdTech and iGaming event data into structured intelligence that helps understand user behaviour, intent, and value across acquisition and retention journeys. This includes designing and optimising Snowflake and AWS pipelines, integrating complex first‑ and third‑party data sources, and building scalable datasets that support advanced analytics and machine learning.
The role will also involve developing analytical and machine learning systems that identify behavioural patterns within bidstream and conversion data, enabling audience intelligence, anomaly detection, performance benchmarking, and predictive optimisation. Working closely with Lift’s engineering team, this role will help evolve the platform’s capabilities from reporting and analytics into audience intelligence, predictive modelling, and AI‑assisted insight generation. Outputs from these systems will feed directly into the Lift platform to support audience targeting, campaign optimisation, and automated client insights.
Key Responsibilities
- Work with the data engineering team to design and maintain scalable data pipelines processing large volumes of event‑level data from internal tracking systems and external DSP integrations.
- Contribute to the development and optimisation of data models within Snowflake to support analytics, reporting, and machine learning workloads.
- Integrate multiple first‑ and third‑party data sources into a scalable, cost‑efficient data platform.
- Ensure data quality, performance, and reliability across Lift’s analytics infrastructure.
Senior Data Engineer - ML & Analytics employer: Moot Group
Contact Detail:
Moot Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - ML & Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the iGaming and data engineering space on LinkedIn. Join relevant groups, attend webinars, and don’t be shy to slide into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving machine learning and analytics. Share it during interviews or on your LinkedIn profile to give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems, so be confident!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Lift and being part of our awesome team!
We think you need these skills to ace Senior Data Engineer - ML & Analytics
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, machine learning, and any relevant technologies like Snowflake and AWS. We want to see how your skills align with what we’re looking for!
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 you can contribute to Lift’s mission. Be sure to mention specific projects or experiences that relate to audience intelligence and predictive modelling.
Showcase Your Projects: If you’ve worked on any relevant projects, don’t hold back! Include links to your GitHub or any other portfolio where we can see your work. This gives us a better idea of your hands-on experience and problem-solving skills in action.
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 keep track of your application status. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Moot Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around Snowflake and AWS. Brush up on your knowledge of data pipelines, audience modelling, and machine learning techniques. Being able to discuss specific projects or experiences where you've implemented these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled complex data challenges in the past. Think about examples where you’ve optimised data models or integrated multiple data sources. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly demonstrate your impact.
✨Understand Lift’s Business Model
Familiarise yourself with Lift’s audience management platform and how it serves the iGaming industry. Knowing how data-driven decisions can maximise ROI for clients will show that you’re genuinely interested in the role and understand the company’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about the team’s current projects, challenges they face, or how they envision the evolution of their data platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.