At a Glance
- Tasks: Own end-to-end data engineering projects and build scalable data pipelines.
- Company: Next-gen sports betting platform with a focus on innovation.
- Benefits: Up to £100,000 salary, private health insurance, and flexible working.
- Other info: Join a high-growth team with excellent career development opportunities.
- 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.
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 Edinburgh 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 Edinburgh
✨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 – it’s all about showing your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Senior Data Engineer (AWS, Airflow, DBT) in Edinburgh
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 any relevant data engineering projects you've worked on. We want to see how you can take ownership of end-to-end data engineering projects!
Showcase Your Projects:Include specific examples of data pipelines you've built or optimised, especially using tools like Airflow or DBT. This will help us understand your hands-on experience and how you approach data modelling and engineering best practices.
Keep It Clear and Concise:While we love detail, make sure your application is easy to read. Use bullet points for key achievements and keep your descriptions focused. We appreciate clarity as much as complexity!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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.
