Job Description
About Us
Airtime Rewards is delivering the leading data-led rewards technology globally.
We believe every shopper should feel great about their daily spend.
Ready to make your application Please do read through the description at least once before clicking on Apply.
Our app is loved by our members (>3.5m!) and we're continually building new features that drive towards our vision that sees hundreds of millions of pounds saved on phone bills.
Alongside this, we work with some of the best-known retailers to revolutionise their performance marketing.
We're giving them brand-new information and insight that transforms their understanding of their customers.
We do all this with our cutting-edge proprietary technology, utilising real-time purchase data and AI learning to delight our members and maintain relationships with >200 retailers (including Boots, Aldi, Tesco, Greggs, Selfridges, and Halfords to name a few!).
It's a simple, best-in-class experience.
We pride ourselves on culture, are solving new problems, and need great people to join us on our international journey as we deliver the leading data-led rewards technology globally.
The Opportunity
We are looking to recruit a Data Engineer to join and strengthen our existing team and contribute to the growth and development of our data services.
This will be an exciting role, with the chance to work in a highly skilled technical role that offers great opportunities for learning and personal development.
The ideal candidate will be passionate about data, with a technical mindset and excellent problem-solving skills. The role will suit someone who is curious, detail-oriented, and looking to rapidly develop their skills in a dynamic environment.
- Design and implement robust, scalable data pipelines to ingest data from internal platforms into our data warehouse.
- Monitor and maintain data pipelines, ensuring data quality, integrity, and availability.
- Optimise data pipelines to enhance performance and reduce cloud computing costs.
- Understand, gather, and document detailed business requirements.
- Take ownership of data projects from planning to delivery, collaborating with other departments as needed.
- Innovate and automate current processes, driving continuous improvement.
Requirements
- Bachelor’s degree in Computer Science, a relevant technical field, or equivalent experience.
- Experience designing cloud data warehouse solutions, data modelling, and building ETL/ELT processes, preferably on GCP or equivalent platforms (AWS, Azure, Snowflake).
- Proficiency with SQL, Python, Docker, and Terraform (or similar IaC tools).
- Strong knowledge of security best practices, data privacy, and GDPR compliance.
- Proven track record optimising data pipelines & query performance.
- Experience in building CI/CD pipelines for automated deployments.
- Desire for operational excellence & commitment to secure coding standards and best practices.
Desirable Skills
- Familiarity with GCP products, especially: BigQuery, Composer, Cloud Functions.
- Knowledge of data science fundamentals (supervised/unsupervised learning, hyperparameter optimisation, model performance evaluation).
- Experience in building AI/ML models and ML pipelines.
- Hands-on experience with data visualisation and BI tools.
- Prior experience in the Fintech sector working with open banking data.
Employee Benefits
- Share options.
- 23 days annual leave, plus one for each year served (capped at 28).
- Birthday leave.
- Learning & development budget / time allocation
- Flexible start & finish hours 06:30 - 10:30am
- Life assurance at 5x salary
- Health cash plan
- Virtual GP appointments for you and your family
- 24/7 helpline for physical and mental health support, counselling, and other well-being resources
- Private Medical Insurance
- Hybrid working between home and office
- City centre location with brand new fit-out (when in the office)
- Buy a holiday scheme
- Charity day
- Charity contribution
- Professional accreditation funding
- Enhanced Maternity, Paternity & Adoption leave pay
- Electric Vehicle Scheme