Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of modern data architecture and optimise data pipelines.
- Company: Exciting Series C sports tech company redefining user experience.
- Benefits: Competitive salary up to £120,000 plus fantastic extra benefits.
- Why this job: Be a technical leader in a hands-on culture while shaping the future of sports tech.
- Qualifications: Strong data modelling and data warehousing experience, ideally with AWS/GCP.
- Other info: Join a growing team focused on innovation and quality.
The predicted salary is between 72000 - 84000 £ per year.
You will be a technical leader who stays close to the code, and you will own the data infrastructure and modelling layer while helping the team to grow.
THE COMPANY: I am partnering with a series C sports tech company building a modern, tech forward platform redefining user experience. They are focused on scaling up while maintaining their hands-on and quality culture.
THE ROLE:
- Lead the design and implementation of the modern data warehouse architecture
- Build and optimise data pipelines for ingestion, transformation, and modelling
- Set technical standards and best practices for the data team
YOUR SKILLS & EXPERIENCE: We are looking for someone with:
- Strong data modelling experience e.g. dbt
- Ideally AWS/GCP background
- Data warehousing experience - e.g. Snowflake, BigQuery, Redshift
- IAC e.g. Terraform
- Orchestration experience e.g. dagster, airflow
THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £120,000. On top of the salary, there are some fantastic extra benefits.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Lead Data Engineer (AWS) in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer (AWS) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects that highlight your data engineering prowess, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data modelling and AWS skills. Practice common questions and scenarios you might face, so you can confidently showcase your expertise when it counts.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Lead Data Engineer (AWS) 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 data modelling experience and any relevant projects you've worked on, especially those involving AWS or GCP.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've built or optimised data pipelines, and mention any tools like dbt, Snowflake, or Terraform that you've used in your previous roles.
Keep It Clear and Concise: We love a well-structured application! Use bullet points for easy reading and keep your descriptions focused. Remember, clarity is key when showcasing your technical expertise.
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
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, dbt, and data warehousing tools. Brush up on your knowledge of data modelling and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to guide a team. Prepare examples of how you've led technical projects or mentored colleagues. Highlight your experience in setting technical standards and best practices.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Practice explaining your thought process when designing data pipelines or optimising data architectures. Be ready to solve problems on the spot, as this will showcase your hands-on approach.
✨Cultural Fit Matters
This company values a hands-on and quality culture, so be prepared to discuss how you align with these values. Share experiences that reflect your commitment to quality and teamwork, and show enthusiasm for contributing to a positive work environment.
