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- Tasks: Lead the design of data infrastructure and optimise data pipelines for a sports tech company.
- Company: Exciting sports tech company based in Manchester with a focus on innovation.
- Benefits: Competitive salary up to £120,000 plus additional perks.
- Why this job: Join a dynamic team and shape the future of sports technology with your expertise.
- Qualifications: Strong data modelling experience, preferably with AWS or GCP knowledge.
- Other info: Opportunity to set technical standards and lead a talented team.
The predicted salary is between 72000 - 84000 £ per year.
A sports tech company in Manchester seeks a Technical Leader to own their data infrastructure and modelling layer. You will lead the design of modern data warehouse architecture, build and optimize data pipelines, and set technical standards for the team.
Ideal candidates should have strong data modelling experience, ideally with a background in AWS or GCP and familiarity with data warehousing technologies like Snowflake or BigQuery.
Competitive salary up to £120,000 plus additional benefits.
Lead Data Engineer - AWS, Data Warehouse & Pipelines in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - AWS, Data Warehouse & Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry, especially those working with data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects and any cool data pipelines you've built. This is your chance to shine and demonstrate your expertise in AWS or GCP.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data warehousing technologies like Snowflake or BigQuery. We want you to feel confident when discussing your experience and ideas!
✨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 about their job search.
We think you need these skills to ace Lead Data Engineer - AWS, Data Warehouse & Pipelines in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data modelling and any relevant technologies like AWS, Snowflake, or BigQuery. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences make you the perfect fit for leading our data infrastructure and technical standards.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the right candidate!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team.
How to prepare for a job interview at Harnham
✨Know Your Data Warehousing Tech
Make sure you brush up on your knowledge of data warehousing technologies like Snowflake and BigQuery. Be ready to discuss how you've used these tools in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your AWS or GCP Experience
Since the role requires a strong background in AWS or GCP, prepare specific examples of how you've leveraged these platforms in your previous work. Highlight any projects where you designed data pipelines or optimised data infrastructure.
✨Demonstrate Leadership Skills
As a Technical Leader, you'll need to show that you can guide a team effectively. Think of instances where you've led a project or mentored colleagues, and be ready to share how you set technical standards and fostered collaboration.
✨Prepare for Technical Questions
Expect to face some technical questions during the interview. Brush up on data modelling concepts and be prepared to solve problems on the spot. Practising with mock interviews can help you feel more confident when tackling these questions.
