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- Tasks: Join a dynamic team to build data solutions using Snowflake and other cutting-edge technologies.
- Company: A leading Financial Services firm with a strong reputation and innovative approach.
- Benefits: Enjoy hybrid working, competitive salary, bonus, generous holiday, and pension contributions.
- Why this job: Make a real impact in a new division while mentoring others and driving best practices.
- Qualifications: Experience with Snowflake, dbt, Airflow, AWS, and excellent SQL scripting skills required.
- Other info: Permanent role for UK residents only; no sponsorship available.
The predicted salary is between 60000 - 84000 £ per year.
A large Financial Services company are looking for a Data Engineer with Snowflake experience to join their growing Data Engineering team in London. This is a permanent role with hybrid working arrangements, with 2 days per week in the office on average.
In this role, you will be working within a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provides data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers.
You will work on delivering end-to-end solutions and, as a more Senior member of the team, you will mentor Junior colleagues, take ownership of projects, and drive best-practice. This is a unique opportunity for an experienced Data Engineer to join a brand-new function of a well-established business - combining a start-up mentality with strong financial backing, and the chance to make a real impact!
We’re looking for the following experience:
- Extensive hands-on experience with Snowflake
- Extensive experience with dbt, Airflow, AWS and Terraform
- Excellent scripting skills in SQL
- Experience developing solutions entirely from scratch
- Great communication skills, with the ability to understand and translate complex requirements into technical solutions
You will be rewarded with:
- Salary up to £100,000 depending on experience
- Bonus up to 10%
- Pension with employer contribution of up to 14% depending on your own contribution
- 29 days holiday plus bank holidays
- Opportunity to buy or sell up to 5 holidays per year
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Snowflake Data Engineer employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer
✨Tip Number 1
Familiarise yourself with the latest features and updates in Snowflake, dbt, Airflow, and AWS. Being able to discuss recent advancements or how you've applied these technologies in past projects can really set you apart during conversations.
✨Tip Number 2
Network with professionals in the Data Engineering field, especially those who work with Snowflake. Attend meetups or webinars to connect with others and gain insights into the industry, which could lead to valuable referrals.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of specific examples where you've developed solutions from scratch. Be ready to explain your thought process and the impact of your work on previous projects.
✨Tip Number 4
Brush up on your communication skills, as you'll need to translate complex technical requirements into understandable terms for stakeholders. Practising this skill can help you demonstrate your ability to mentor junior colleagues effectively.
We think you need these skills to ace Snowflake Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive hands-on experience with Snowflake, dbt, Airflow, and AWS. Use specific examples of projects where you've developed solutions from scratch to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the unique opportunity it presents. Mention your ability to mentor junior colleagues and your experience in translating complex requirements into technical solutions.
Showcase Communication Skills: Since great communication skills are essential for this role, consider including a brief example in your application that illustrates how you've effectively communicated technical concepts to non-technical stakeholders.
Highlight Relevant Achievements: Include any relevant achievements or recognitions in your application that showcase your expertise in data engineering and your contributions to previous teams or projects, particularly in a financial services context.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Snowflake Expertise
Make sure to highlight your extensive hands-on experience with Snowflake during the interview. Be prepared to discuss specific projects where you've implemented Snowflake solutions, as this will demonstrate your capability and familiarity with the technology.
✨Demonstrate Your Scripting Skills
Since excellent scripting skills in SQL are crucial for this role, be ready to provide examples of complex queries you've written. You might even want to prepare a few sample scripts to discuss how you approached problem-solving in previous projects.
✨Communicate Clearly
Strong communication skills are essential, especially when translating complex requirements into technical solutions. Practice explaining your past projects in a way that is easy to understand, focusing on how you collaborated with non-technical stakeholders.
✨Emphasise Mentorship Experience
As a more senior member of the team, you'll be expected to mentor junior colleagues. Share any relevant experiences where you've guided others or taken ownership of projects, showcasing your leadership skills and commitment to best practices.
