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- Tasks: Manage large datasets and collaborate with Product and ML teams on unique challenges.
- Company: Fast-growing AI and cyber-security start-up in Central London.
- Benefits: Competitive salary, equity, and benefits with a hybrid work model.
- Why this job: Join a dynamic team tackling exciting machine learning challenges and make a real impact.
- Qualifications: Expertise in Python, SQL, AWS, and data governance principles required.
- Other info: Ideal for those who thrive in fast-paced start-up environments.
The predicted salary is between 64000 - 96000 £ per year.
Senior Data Engineer | Snowflake & DBT | Salary £65,000 – £80,000 | Remote
Would you like to join a national organisation that helps thousands of people across the UK during their time of need?
They’re looking to add a Senior Data Engineer to their centralised Data team. These products impact thousands of users daily, so you’ll get to work on products that are in production and see the fruits of your labour.
Their stack is Snowflake, DBT and Azure, and a big focus for them is staying up to date with the latest developments in data engineering, so you’ll be working on cutting-edge tech. Currently, they are undergoing a greenfield migration from On-prem -> Snowflake so they need deep experience with Snowflake and DBT.
This is a fantastic opportunity to join a company that not only cares deeply about its customers but also invests heavily in technology. You’ll also benefit from working alongside some of the best technical leaders that I know!
What you’ll need
- Strong commercial experience as a Data Engineer
- Proven expertise in Snowflake and DBT
- Any cloud experience is good, but Azure is desirable.
- Ability to work effectively in a collaborative multifunctional team
- High levels of curiosity and the desire to create solutions that solve the problems of users
- Happy to come into the office in North Bristol once per month
If you want to join a company with over a century of history that’s still driving innovation and delivering positive impact to its customers, click apply below or drop me a line at adam@sr2rec.co.uk
Senior Data Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and cyber-security. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on data modelling and governance principles. Be ready to discuss how you've tackled complex datasets in the past and how you can bring that expertise to a fast-paced start-up.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in the data engineering space.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and AWS. We want to see how your skills align with the unique challenges we face in applied machine learning.
Showcase Your Projects: Include specific examples of data pipelines you've built or managed. We love seeing hands-on experience, especially in a fast-paced start-up environment like ours!
Highlight Autonomy: Since you'll be working as the sole data engineer, it's crucial to demonstrate your ability to work independently. Share instances where you've tackled complex datasets on your own.
Apply Through Our Website: We encourage you to apply directly through our website. It makes the process smoother for us and ensures your application gets the attention it deserves!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to data modelling and governance. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to manage large datasets or implement CI/CD practices. Being able to articulate your thought process and the impact of your solutions will impress the interviewers.
✨Understand the Company’s Mission
Research the start-up's focus on AI and cyber-security. Familiarise yourself with their products and any recent news. This will help you align your answers with their goals and demonstrate your genuine interest in contributing to their unique challenges.
✨Be Ready for a Fast-Paced Environment
Since this role is in a fast-growing start-up, be prepared to discuss how you thrive in dynamic settings. Share experiences where you’ve worked autonomously and adapted quickly to changes. This will reassure them that you can handle the demands of the role.
