At a Glance
- Tasks: Own end-to-end data engineering projects and build scalable data pipelines.
- Company: Join a next-gen sports betting platform with bold branding and fast execution.
- Benefits: Up to £100,000 salary, private health insurance, flexible working, and enhanced holidays.
- Other info: Remote work opportunity with a dynamic team and excellent career growth.
- Why this job: Shape a modern data platform and make a real impact in the gaming industry.
- Qualifications: Strong skills in Python, SQL, and modern data orchestration tools required.
The predicted salary is between 100000 - 100000 € per year.
This is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering projects and play a key role in shaping a modern, scalable data platform.
THE COMPANY: This is a next-generation sports betting and gaming platform built for a new wave of players. Combining sharp product thinking, bold branding and fast execution.
THE ROLE: You will take ownership of the full data engineering lifecycle. Key responsibilities include:
- Owning end-to-end data engineering projects across the platform
- Designing, building and optimising scalable data pipelines using Python, SQL and modern orchestration tools
- Developing robust data models aligned with industry best practices
- Ensuring high standards of data quality through testing, monitoring and alerting
- Driving engineering best practices, contributing to code reviews and mentoring other engineers
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in:
- Python and advanced SQL
- Building and maintaining production-grade data pipelines
- Modern data orchestration tools (e.g. Dagster, Airflow, Prefect)
- Data modelling methodologies (Kimball, Data Vault, etc.)
- Engineering best practices including testing, version control and clean code
- AWS experience
THE BENEFITS: You will receive a salary of up to £100,000 depending on experience, along with a comprehensive benefits package including private health insurance, income protection, flexible working, enhanced holiday entitlement and a fully supported home-office setup.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Senior Data Engineer (AWS, Airflow, DBT) in Cardiff employer: Harnham - Data & Analytics Recruitment
Join a dynamic and innovative sports betting and gaming platform that prioritises employee growth and well-being. With a strong focus on modern technology and engineering best practices, you will have the opportunity to lead impactful data projects while enjoying a flexible work environment, comprehensive benefits, and a culture that fosters collaboration and creativity.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (AWS, Airflow, DBT) in Cardiff
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. 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 engineering projects, especially those involving AWS, Airflow, and DBT. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or optimising data models – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer (AWS, Airflow, DBT) in Cardiff
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in Python, SQL, and data orchestration tools like Airflow. We want to see how you can take ownership of data engineering projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with our needs. Don’t forget to mention your experience with AWS and data modelling methodologies.
Showcase Your Projects:If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially if they demonstrate your ability to build and optimise scalable data pipelines.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the orchestration tools mentioned in the job description. Brush up on your knowledge of Airflow and DBT, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Projects
Prepare to talk about specific end-to-end data engineering projects you've worked on. Highlight your role in designing and optimising data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Understand Data Modelling
Familiarise yourself with data modelling methodologies like Kimball and Data Vault. Be prepared to discuss how you’ve applied these practices in your work, as this will demonstrate your depth of knowledge in the field.
✨Emphasise Best Practices
Discuss your approach to engineering best practices, including testing, version control, and clean code. Mention any experience you have with mentoring others, as this shows leadership potential and a commitment to quality.
