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- Tasks: Join as the first engineering hire to shape data infrastructure and deploy impactful models.
- Company: Be part of a fast-growing, PE-backed retail leader making waves in the industry.
- Benefits: Enjoy a hybrid work model with 2 days in-office and opportunities for growth.
- Why this job: Make a significant impact in a collaborative environment with key leaders driving innovation.
- Qualifications: Experience with AWS, Python, and ETL processing is essential for this role.
- Other info: Ideal for aspiring team leaders looking to grow as the data team expands.
The predicted salary is between 43200 - 72000 £ per year.
twentyAI is excited to partner with a fast-growing, PE-backed retail leader to find a talented Data Engineer ready to make a significant impact. This dynamic role will have you work closely with key leaders, including the CTO, Head of IT, and Senior Data Scientist, to deploy models and algorithms that drive business growth. Your expertise will be central to enabling data-driven decision-making for the senior leadership team and designing and deploying a new, cloud-hosted data infrastructure.
Details;
– First engineering hire, with ample opportunity to shape the future data engineering landscape.
– Collaborative environment where you can leverage a broad skill set to make an impact.
– Aspiring team leaders will find a pathway for growth as the data team expands.
Technology;
– AWS (Serverless Environment)
– Python
– ETL Processing
Hybrid role with 2 days per week in-office in North London
This role is ideal for a data engineering professional eager to take on a high-impact position and contribute to an innovative team. If this sounds like a role you’d like to hear more about, apply below!
Apply now
Data Engineer - London - PE Backed Retail Business employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - London - PE Backed Retail Business
✨Tip Number 1
Familiarize yourself with AWS and serverless architecture, as this is a key technology for the role. Consider building a small project or contributing to an open-source project that utilizes these technologies to showcase your skills.
✨Tip Number 2
Highlight your experience with Python and ETL processes in your conversations. Be prepared to discuss specific projects where you've successfully implemented data pipelines or transformed data for analysis.
✨Tip Number 3
Since this role involves collaboration with senior leaders, practice articulating your ideas clearly and confidently. Prepare to discuss how you can contribute to data-driven decision-making and the impact of your work on business growth.
✨Tip Number 4
Research the company’s current data infrastructure and think about how you would approach designing a new cloud-hosted solution. Being able to present your vision during discussions will demonstrate your proactive mindset and readiness for the role.
We think you need these skills to ace Data Engineer - London - PE Backed Retail Business
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and technologies mentioned, such as AWS, Python, and ETL processing. Tailor your application to highlight your relevant experience in these areas.
Highlight Your Impact: In your CV and cover letter, emphasize specific examples of how you've made a significant impact in previous roles. Discuss any projects where you deployed models or algorithms that drove business growth, as this aligns with the expectations of the role.
Showcase Collaboration Skills: Since the role involves working closely with senior leaders, it's important to demonstrate your ability to collaborate effectively. Include examples of teamwork and communication in your application to show that you're a good fit for their collaborative environment.
Tailor Your Application: Customize your CV and cover letter for this specific position. Use keywords from the job description and make sure to address how your skills and experiences align with the company's needs and culture.
How to prepare for a job interview at twentyAI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS, Python, and ETL processing. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to contribute to the company's data infrastructure.
✨Emphasize Collaboration
Since this role involves working closely with key leaders, share examples of how you've collaborated with cross-functional teams in the past. This will show that you can thrive in a collaborative environment and are ready to engage with senior leadership.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles and how you overcame them. This is particularly important in a dynamic role where you'll need to deploy models and algorithms that drive business growth.
✨Express Your Growth Mindset
As the first engineering hire, it's crucial to convey your eagerness to shape the future data engineering landscape. Talk about your aspirations for growth and how you envision contributing to the expansion of the data team.
