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- Tasks: Lead the development of a new data platform and manage existing ML models.
- Company: Join a fast-growing, tech-for-good sustainability business making a real environmental impact.
- Benefits: Enjoy a hybrid working model, private healthcare, and other exciting perks.
- Why this job: Gain total autonomy in shaping data architecture while working with a passionate team.
- Qualifications: 3+ years as a Data Engineer with a 2:1 or above in relevant STEM subjects.
- Other info: This role does not offer sponsorship.
The predicted salary is between 54000 - 126000 £ per year.
A fast-growing, tech-for-good sustainability business is looking for a high calibre Senior Data Engineer to join the team. This scale-up has secured over £100 million in funding and has performed exceptionally well over the last couple of years, tackling some very complex challenges in the environmental space. This role offers someone who is looking for a challenging position. You will be given full ownership of a brand-new data platform. This is a unique opportunity to shape the architecture, tooling, and processes from the ground up in a growing company.
Why This Role?
- Total autonomy to build and scale a modern data infrastructure
- Blend of engineering and ownership over an existing ML model (AWS)
- Collaborative environment with support from a specialist consultancy
- Join a small, passionate team driving real-world impact
Required Skillset:
- 3 years + experience as a Data Engineer
- 2:1 or above from a Top Russell Group University in relevant STEM subjects
- Exceptional usage of AWS (Essential)
- Strong experience with dbt
- Knowledge of Snowflake (Bonus but not essential)
- Experience with building out data platforms
Offer:
- Up to £90,000 DOE
- Hybrid Working Model (London)
- Private Healthcare
- Many other benefits
Please note that this role does not offer sponsorship.
Senior Data Engineer (City of London) employer: JSS Search
Contact Detail:
JSS Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (City of London)
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience with AWS and dbt. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Showcase your hands-on experience with building data platforms by discussing relevant projects during interviews. Be prepared to explain your thought process and the impact of your work on previous teams or organisations.
✨Tip Number 3
Familiarise yourself with the latest trends in sustainability and how data engineering plays a role in this sector. Being knowledgeable about the company's mission can help you stand out as a candidate who is genuinely interested in their work.
✨Tip Number 4
Prepare for technical interviews by brushing up on your AWS skills and dbt usage. Consider doing mock interviews with peers to practice articulating your technical knowledge and problem-solving abilities effectively.
We think you need these skills to ace Senior Data Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer, particularly focusing on your work with AWS and any relevant projects involving dbt or Snowflake. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sustainability and how your background aligns with the company's mission. Mention your desire for autonomy in building data infrastructure and how you can contribute to their goals.
Showcase Relevant Projects: If you have worked on any significant data engineering projects, especially those that involved building data platforms or using machine learning models, be sure to include these in your application. Detail your role and the impact of your contributions.
Highlight Your Educational Background: Since the job requires a degree from a Top Russell Group University, make sure to clearly state your qualifications. If you graduated with a 2:1 or above, mention this prominently to meet the requirements.
How to prepare for a job interview at JSS Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS and dbt in detail. Highlight specific projects where you've successfully built or scaled data platforms, as this will demonstrate your technical expertise and problem-solving abilities.
✨Demonstrate Ownership and Initiative
Since the role involves full ownership of a new data platform, share examples from your past where you took initiative and led projects. This will show that you're ready to take on responsibility and drive results in a collaborative environment.
✨Understand the Company's Mission
Research the company's sustainability goals and how they impact the environment. Being able to articulate why you want to work for a 'tech-for-good' business will resonate well with the interviewers and show your alignment with their values.
✨Prepare Questions About the Role
Think of insightful questions to ask about the data architecture and tooling they currently use or plan to implement. This not only shows your interest in the role but also your proactive approach to understanding the challenges they face.
