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- 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, flexible working, and enhanced holidays.
- Other info: Join a dynamic team with opportunities for mentorship and career growth.
- Why this job: Shape a modern data platform and make an impact in a high-growth environment.
- Qualifications: Strong skills in Python, SQL, and AWS; experience with 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 Manchester employer: Harnham - Data & Analytics Recruitment
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 Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow data engineers 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 projects, especially those involving Python, SQL, and data pipelines. 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 your technical knowledge and practising common data engineering questions. Don’t forget to highlight your experience with AWS and orchestration tools like Airflow during the chat!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. 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 Manchester
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 AWS, and don’t forget to showcase any relevant projects you've worked on!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Senior Data Engineer role. Share your passion for data engineering and how you can contribute to our modern, scalable data platform.
Showcase Your Projects: If you've worked on any end-to-end data engineering projects, make sure to include them in your application. We love seeing real-world examples of your work with data pipelines and orchestration tools like Airflow.
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 the technologies mentioned in the job description, especially Python, SQL, and AWS. Brush up on your knowledge of data orchestration tools like Airflow and DBT, as you might be asked 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 worked on. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your ownership and problem-solving skills, which are crucial for this position.
✨Understand Data Modelling
Familiarise yourself with data modelling methodologies such as Kimball and Data Vault. Be ready to explain how you’ve applied these practices in your work, as this will show your depth of knowledge and commitment to industry best practices.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data platform and engineering practices. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.