At a Glance
- Tasks: Help clients solve complex data challenges using our innovative Data Intelligence Platform.
- Company: Join Databricks, a leading data and AI company transforming how businesses work with data.
- Benefits: Enjoy private medical insurance, fitness reimbursement, and a career development fund.
- Other info: Dynamic role with opportunities for travel and professional growth.
- Why this job: Make a real impact by guiding businesses to leverage data for informed decisions.
- Qualifications: Experience in Data Science, Machine Learning, or Data Engineering is essential.
The predicted salary is between 60000 - 80000 £ per year.
At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering.
Impact you will have:
- Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
- Gain excitement from clients about Databricks through hands‑on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
- Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet‑ups.
- Become a Big Data Analytics advisor on aspects of architecture and design.
- Support your customers by authoring reference architectures, how‑tos, and demo applications.
- Develop both technically and in the pre‑sales aspect with the goal of becoming an independently operating Solutions Architect.
What we look for:
- Experience, technical customer‑facing and with a background in Data Science / Generative AI / Machine Learning or Data Engineering.
- You will be working in any of the following vertical sectors: Real‑money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality; Manufacturing, Energy and Industrials; Travel, Transport and Logistics; Financial Services and Insurance; Public Sector; Consumer Package Goods; Retail.
- Any experience of Pre‑sales or post‑sales experience working with external clients.
- Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition, identify customer's pain points, and explain important areas for business value to develop a trusted advisor skillset.
- Code in a core programming language such as Python, Java, or Scala.
- Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs‑of‑concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
- Experience diving deeper into solution architecture and design.
- The role requires travel to customer sites in the UK.
- Nice to have: Databricks Certification.
Benefits:
- Private medical insurance
- Private dental insurance
- Health Cash Plan
- Life, income protection & critical illness insurance
- Pension Plan
- Equity awards
- Enhanced Parental Leaves
- Fitness reimbursement
- Annual career development fund
- Home office & work headphones reimbursement
- Business travel accident insurance
- Mental wellness resources
- Employee referral bonus
About Databricks:
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
Solutions Engineer (Data Engineering or Data Science/ML) in London employer: Databricks Inc.
At Databricks, we pride ourselves on fostering a vibrant work culture that champions innovation and collaboration. As a Solutions Engineer, you'll enjoy comprehensive benefits including private medical and dental insurance, a generous career development fund, and a supportive environment that encourages personal and professional growth. Join us in our mission to revolutionise data science and analytics while working alongside a passionate team dedicated to making a meaningful impact in various industries across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer (Data Engineering or Data Science/ML) in London
✨Tip Number 1
Get to know the company culture! Databricks values proactiveness and a customer-centric mindset, so show us how you embody these traits. Research their projects and be ready to discuss how your skills can help push their mission forward.
✨Tip Number 2
Network like a pro! Attend workshops, seminars, or meet-ups related to data science and engineering. This is a great way to connect with potential colleagues and learn more about the challenges they face, which you can address in your conversations.
✨Tip Number 3
Show off your technical chops! Be prepared to demonstrate your coding skills in Python, Java, or Scala. We want to see how you can tackle complex data challenges and create tailored solutions for clients.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re serious about joining the Databricks team and making an impact in the data world.
We think you need these skills to ace Solutions Engineer (Data Engineering or Data Science/ML) in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data science and engineering shine through! We love seeing candidates who are genuinely excited about using data to solve real-world problems.
Tailor Your Application:Make sure to customise your application to highlight your relevant experience in Data Science, ML, or Data Engineering. We want to see how your skills align with our mission at Databricks, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical expertise and how it can benefit our customers. Remember, we appreciate clarity just as much as creativity!
Apply Through Our Website:Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Data Science, Machine Learning, and Big Data Analytics. Be ready to discuss your experience with programming languages like Python, Java, or Scala, and how you've applied them in real-world scenarios.
✨Understand the Customer-Centric Approach
Since Databricks values a customer-centric mindset, think about how you can demonstrate this in your interview. Prepare examples of how you've successfully engaged with clients, identified their pain points, and provided tailored solutions that added business value.
✨Showcase Your Collaborative Spirit
This role involves working closely with Account Executives and Senior Solutions Architects. Be prepared to share experiences where you've collaborated effectively in a team setting, highlighting your ability to contribute to a unified goal while fostering creativity and innovation.
✨Prepare for Hands-On Evaluation
Expect to engage in hands-on evaluations during the interview process. Familiarise yourself with the Databricks platform and be ready to discuss how you would integrate it with other cloud ecosystems and third-party applications to solve complex data challenges.
