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For Companies At a Glance
- Tasks: Design and optimise data products while collaborating with tech experts.
- Company: Join a leading AI technology company with a focus on innovation.
- Benefits: Fully remote work, competitive pay, and opportunities for contract extensions.
- Why this job: Be part of a cutting-edge AI team making a real impact in data solutions.
- Qualifications: 4+ years in data roles, strong SQL skills, and great communication.
- Other info: Dynamic environment with potential for career growth in tech.
The predicted salary is between 36000 - 60000 £ per year.
Spencer Rose is partnered with a leading AI Technology company who are actively in search of a Product Solutions Engineer on a contract basis. My client provides an AI-Powered Data Fabric Platform that is designed to help enterprises get instant, trusted answers from their vast distributed data.
Within this role, the Product Solutions Engineer will be responsible for proactively working with Data Architects, Security Architects, Data Engineers, and BI Developers to design, implement, and optimize data products and solutions.
The Product Solutions Engineer will have the following responsibilities:
- Data Modeling & Architecture: Refine, and assist mapping of logical, and physical data models. Collaborate with Data Architects to ensure models align with business requirements and best practices.
- SQL & Data Engineering: Write efficient, maintainable SQL queries for generating data products to answer key hypotheses and insights. Incorporate SQL into data products and integrate into BI and other consumption tools. Troubleshoot, analyse, and resolve issues across a modern full-stack application running in the cloud. Document findings, improve internal processes, and help evolve support practices.
The Product Solutions Engineer will need to have the following skills/experience:
- Minimum 4 years of hands-on experience in data teams, analytics engineering, or a related field.
- Strong SQL skills and practical experience with analytic databases.
- Excellent verbal and written communication skills; able to convey technical details to non-technical audiences.
- Previous technical experience within the following: SQL, ETL & PowerBI.
- Ideally worked within SaaS based organisations.
Solutions Engineer employer: Spencer Rose
Contact Detail:
Spencer Rose Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries and data products. This is a great way to demonstrate your expertise to potential employers and make you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms. Remember, you’ll be working with non-technical folks too, so being relatable is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Solutions Engineer role. Highlight your experience with SQL, data modelling, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your experience in SaaS environments if you have it!
Show Off Your Communication Skills: Since you'll be working with both technical and non-technical teams, it's crucial to demonstrate your communication skills. In your application, use clear and concise language to convey your ideas and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Spencer Rose
✨Know Your SQL Inside Out
As a Product Solutions Engineer, you'll need to showcase your SQL skills. Brush up on writing efficient queries and be ready to discuss how you've used SQL in past projects. Prepare examples that demonstrate your ability to solve complex data problems.
✨Understand Data Modelling & Architecture
Familiarise yourself with data modelling concepts and best practices. Be prepared to discuss how you’ve collaborated with Data Architects in the past. Highlight any experience you have in refining logical and physical data models, as this will be crucial for the role.
✨Communicate Clearly with Non-Technical Audiences
Since you'll be working with various stakeholders, practice explaining technical concepts in simple terms. Think of examples where you've successfully communicated complex ideas to non-technical team members, as this will show your versatility and communication skills.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you resolved them. Highlight your troubleshooting abilities, especially in cloud environments, and share how you documented findings and improved processes to enhance team efficiency.
