At a Glance
- Tasks: Solve complex customer problems and drive AI Data Cloud adoption.
- Company: Join Snowflake, a leader in innovative data solutions.
- Benefits: Competitive salary, flexible work environment, and growth opportunities.
- Other info: Dynamic team culture focused on collaboration and innovation.
- Why this job: Be at the forefront of AI technology and redefine how work gets done.
- Qualifications: Experience in data platforms, analytics, and cloud technologies.
The predicted salary is between 80000 - 90000 £ per year.
At Snowflake, we are powering the era of the agentic enterprise.
To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.
We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
At Snowflake, your role isn’t just to execute a function, but to help redefine the future of how work gets done.
Solution Engineer: Accelerate the AI Data Cloud
We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals.
In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business.
As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done.
You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed.
- Your Impact (in this role you will get to)
- Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers.
- Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
- Your Credentials (on day one, we will expect you to have)
- Outstanding presenting skills and executive presence to engage technical, business and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Broad range of experience within Data platforms, analytics, and cloud technologies, including deep knowledge of data warehousing, data lakes, and lake house architectures.
- Proven ability to discuss and demonstrate the value of Generative AI and Machine Learning use cases for enterprises.
- Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as Lang Chain, Hugging Face, or Py Torch, along with a solid understanding of how to work with and deploy Large Language Models (LLMs).
- Familiarity with core data concepts such as data modeling, data governance, and data engineering best practices.
- Hands-on expertise with Python and SQL.
Our Values. Our Culture.
We are customer-obsessed.
We lead with integrity and honesty.
We believe in being great teammates, embracing feedback, and embodying the Snowflake values in every interaction.
We work to ensure data is accessible, usable, and valuable to everyone.
If this sounds like the high-stakes, high-reward role you were made for, seize the moment.
Apply now and join us in building the AI Data Cloud for the region!
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers. snowflake. com
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Solution Engineer - Manufacturing employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Engineer - Manufacturing
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Solution Engineer - Manufacturing
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Doist, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Doist. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Doist
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Doist!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
