Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team in shaping data practices and designing technical standards.
- Company: A well-known retail brand with a focus on innovation.
- Benefits: Flexible working, generous benefits, and a 50% staff discount.
- Why this job: Join a diverse team and influence data-driven decision-making.
- Qualifications: Experience in data engineering, SQL, Python, and strong leadership skills.
- Other info: Great opportunities for career progression in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A well-known retail brand is seeking a Development Practice Lead to oversee data and BI practices. The role involves leading a team, designing technical standards, and working with various data technologies like Snowflake and AWS.
Candidates should have experience in data engineering, SQL, and Python, alongside strong leadership skills.
The position offers flexible working, generous benefits including a 50% staff discount, and opportunities for progression. Join a diverse team to help shape data-driven decision-making in the company.
Remote Data Practice Lead — Architecture & Coaching employer: River Island
Contact Detail:
River Island Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Practice Lead — Architecture & Coaching
✨Tip Number 1
Network like a pro! Reach out to folks 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! Prepare a portfolio or case studies that highlight your experience with data technologies like Snowflake and AWS. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills before the interview. You might get asked to solve a problem on the spot, so being prepared is key.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Data Practice Lead — Architecture & Coaching
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, SQL, and Python. We want to see how your skills align with the role of Development Practice Lead, so don’t be shy about showcasing your leadership experience too!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and how you can contribute to our team. We love seeing candidates who can connect their personal experiences to the role.
Showcase Your Technical Skills: Since this role involves working with technologies like Snowflake and AWS, make sure to mention any relevant projects or experiences. We’re keen to see how you’ve used these tools in your previous roles!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at River Island
✨Know Your Data Tech
Make sure you brush up on your knowledge of data technologies like Snowflake and AWS. 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 Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you've successfully led a team or project, and be ready to explain your approach to coaching and mentoring others in the field.
✨Master SQL and Python
Since SQL and Python are key for this role, practice some coding problems or data manipulation tasks beforehand. Being able to demonstrate your technical skills during the interview will set you apart from other candidates.
✨Understand the Company Culture
Research the retail brand's values and culture. Be prepared to discuss how your personal values align with theirs and how you can contribute to a diverse team that drives data-driven decision-making.
