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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 company focused on sustainability and environmental challenges.
- Benefits: Enjoy a hybrid working model, private healthcare, and a competitive salary up to £90,000.
- Why this job: Shape the future of data infrastructure while making a real-world impact in 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 (London Area) employer: JSS Search
Contact Detail:
JSS Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (London Area)
✨Tip Number 1
Network with professionals in the sustainability and data engineering sectors. Attend industry meetups or webinars to connect with people who work at similar companies or have insights into the hiring process.
✨Tip Number 2
Showcase your experience with AWS and dbt in conversations. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Research the company’s mission and recent projects. Understanding their goals and challenges will allow you to tailor your discussions and show how your skills can directly contribute to their success.
✨Tip Number 4
Prepare thoughtful questions about the data platform and its architecture. This not only shows your interest in the role but also highlights your technical knowledge and readiness to take ownership of the project.
We think you need these skills to ace Senior Data Engineer (London Area)
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 data platforms. 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 projects related to data engineering, especially those that involved complex challenges or innovative solutions, be sure to include these in your application. This will help illustrate your capability to handle the responsibilities of the role.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for any spelling or grammatical errors, and ensure that your formatting is consistent. A polished application reflects your attention to detail.
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.
✨Understand the Company's Mission
Research the company's sustainability goals and be ready to discuss how your work as a Data Engineer can contribute to their mission. Showing genuine interest in their impact will resonate well with the interviewers.
✨Prepare for Collaborative Scenarios
As the role is in a collaborative environment, think of examples where you've worked effectively in teams. Be ready to discuss how you handle feedback and support others, as teamwork is crucial in this position.
