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For Companies At a Glance
- Tasks: Engage with clients to solve real-world business challenges using data-driven solutions.
- Company: Fast-growing tech organisation focused on impactful data solutions.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Bridge technical expertise with commercial outcomes while making a real impact.
- Qualifications: Experience in data engineering or analytics, strong Python and SQL skills.
- Other info: Collaborative role with excellent career advancement opportunities.
The predicted salary is between 68000 - 84000 £ per year.
Data Idols are working with a fast-growing technology organisation to hire a Solutions Engineer. This is a highly collaborative, client-facing role focused on delivering impactful, data-driven solutions to real-world business challenges.
The Opportunity
As a Solutions Engineer, you'll operate at the crossroads of data engineering, analytics, and stakeholder engagement. You'll be embedded directly into client teams, helping to scope business needs, define solution architecture, and implement scalable data products that deliver measurable value. This role offers the chance to bridge technical expertise with commercial outcomes - perfect for someone who enjoys designing and deploying solutions while partnering closely with both technical and non-technical stakeholders. If you thrive in dynamic environments and enjoy turning complex requirements into production-ready tools, this role is for you.
What You'll Be Doing
- Engaging directly with clients to understand their business problems and technical constraints
- Building prototypes and production-grade systems using Python, SQL, and modern cloud platforms
- Supporting deployment and integration of solutions within client environments
- Acting as a trusted advisor, helping clients understand the impact and value of data solutions
Skills and Experience
- Proven experience in a data engineering, analytics, or solutions architecture role
- Strong proficiency in Python and SQL
- Ability to translate complex technical concepts into business-friendly language
- Excellent client communication skills, with a track record of successful delivery in consulting or professional services
- Familiarity with cloud platforms (e.g. AWS, GCP, Azure) and modern data tooling is a strong plus
- Understanding of the software development lifecycle and data product design
If you're excited about solving high-impact problems and collaborating with diverse teams to bring data solutions to life, we'd love to hear from you. Please submit your CV for initial screening and more details.
Solutions Engineer in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in data engineering or solutions architecture. 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 projects, especially those involving Python, SQL, and cloud platforms. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by practising common questions related to client engagement and technical problem-solving. We recommend role-playing with a friend to get comfortable explaining complex concepts in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from candidates who are genuinely excited about joining our team.
We think you need these skills to ace Solutions Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Solutions Engineer role. Highlight your experience with Python, SQL, and any cloud platforms you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Client Engagement Skills: Since this role is client-facing, it's crucial to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders. Share examples of how you've successfully delivered solutions in past roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the job. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Data Science Festival
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in building prototypes or production systems. This will show that you can hit the ground running!
✨Understand the Business Side
Since this role is all about bridging technical expertise with commercial outcomes, take some time to research the company’s clients and their business challenges. Being able to speak their language and relate your technical solutions to their needs will set you apart.
✨Prepare for Client Engagement Scenarios
Think of examples where you've successfully engaged with clients to understand their needs. Prepare to discuss how you’ve translated complex technical concepts into easy-to-understand terms. This will demonstrate your excellent communication skills and client-centric approach.
✨Familiarise Yourself with Cloud Platforms
If you have experience with AWS, GCP, or Azure, be ready to talk about it! Even if you don’t, showing a willingness to learn and adapt to modern data tooling will impress your interviewers. They want to see that you’re keen to grow in this fast-paced environment.
