At a Glance
- Tasks: Own end-to-end data engineering projects and optimise scalable data pipelines.
- Company: Next-gen sports betting platform with a focus on innovation.
- Benefits: Up to £100,000 salary, private health insurance, flexible working, and enhanced holidays.
- Other info: Join a high-growth organisation 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) 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 flexible working arrangements, comprehensive benefits including private health insurance and enhanced holiday entitlement, and a culture that encourages ownership and collaboration, this is an excellent opportunity for a Senior Data Engineer to thrive in a supportive environment while shaping the future of data engineering.
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)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow data engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS, Airflow, and DBT. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 demonstrating your expertise!
✨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 and engaged with our platform.
We think you need these skills to ace Senior Data Engineer (AWS, Airflow, DBT)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Python, SQL, and any orchestration tools you've used. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Don’t just list your responsibilities; showcase specific projects where you took ownership of data engineering tasks. We love seeing real examples of your work, especially if they demonstrate your ability to build scalable data pipelines.
Keep It Clear and Concise:When writing your application, keep it clear and concise. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication that gets to the point!
Apply Through Our Website:Remember to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Tech Inside Out
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 them in past projects.
✨Showcase Your Projects
Prepare to talk about specific end-to-end data engineering projects you've owned. Highlight your role in designing and optimising data pipelines, and don’t forget to mention any challenges you faced and how you overcame them.
✨Understand Data Modelling Methodologies
Familiarise yourself with data modelling methodologies like Kimball and Data Vault. Be prepared to explain 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 experiences mentoring others or contributing to code reviews, as this shows leadership potential and a commitment to quality.
