At a Glance
- Tasks: Engage with customers to implement and optimise data analytics solutions.
- Company: Join a leading AI platform transforming data analytics across industries.
- Benefits: Enjoy flexible working, stock options, and a supportive learning environment.
- Why this job: Be part of a fast-paced team driving innovation and customer success in AI.
- Qualifications: STEM degree and 5+ years in a technical, customer-facing role required.
- Other info: Open to UK candidates; no sponsorship available.
The predicted salary is between 48000 - 84000 £ per year.
World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Engineer as part of the EMEA Advanced Customer Enablement (ACE) program to join their growing team in London.
In this role, you’ll collaborate closely with customer teams to drive the adoption and successful implementation of the platform, from conception through delivery. You will be responsible for facilitating engagement through webinars, workshops, and training, while also mentoring customers to foster self-sufficiency.
Technical expertise will be essential in guiding customers through system and data architecture, integrating with cloud data warehouses such as Snowflake and Databricks; supporting the integration of external data sources, developing data models and ETL processes; to driving value through dashboards or business applications. Integrating AI tools and LLMs to unlock valuable insights, optimise performance, and automate business processes will also be a part of this role.
Responsibilities
- Customer Engagement and Enablement: Act as a trusted advisor for named customer accounts, ensuring they fully leverage the company’s AI and Data capabilities. Collaborate with customer teams to enhance their implementation administration. Conduct webinars, training sessions, and Art of the Possible workshops to showcase platform potential. Consult, train and mentor customers on best practices and skills to drive greater self-sufficiency.
- Drive Platform Adoption: Help customers uncover new use cases and drive adoption across their teams. Translate key business requirements into effective solutions that drive customer value. Guide customers on system and data architecture, including best practice integrations with CDWs such as Snowflake and Databricks. Oversee the full project lifecycle, from conception to delivery and sign-off, ensuring seamless collaboration with technical consultants, architects and customers.
- Technical Problem Solving: Assist customers in resolving technical challenges, working with SQL, APIs, and Python and support related to data ingestion, transformation, and visualisation. Develop and optimise data models, ETL processes, Workflows and dashboards within the platform. Provide best practices for analytics pipelines, integration strategies, performance optimisation and data governance and AI readiness. Leverage AI capabilities within the platform and integrate external AI tools and LLMs to enhance data insights, automation, and predictive analytics. Advanced pro code app development and customisation (beneficial) using JavaScript, HTML, and CSS for enhanced user experiences to extend dashboard functionality.
Qualifications
- A STEM degree (or equivalent) from a top-tier university.
- 5+ years’ experience in a technical, data-focused, and customer-facing consulting role.
- Proficiency with business intelligence platforms (e.g. Tableau, Looker, Power BI).
- Strong skills in SQL and Python for data modelling, integrations, and process automation.
- Hands-on use of APIs, including constructing calls in Postman.
- Familiarity with AI technologies, including LLMs, AI agents and external AI tools, to enhance data insights, automation, and predictive analytics.
- Deep understanding of at least one database technology (relational, columnar, or NoSQL) and familiarity with others (e.g., MySQL, Oracle, MSSQL, Vertica, MongoDB).
- Knowledge of cloud data warehouses like Snowflake, Databricks, and BigQuery.
- Proven ability to manage technical project delivery, including scoping, planning, and risk assessment.
- Strong organisational skills to oversee multiple concurrent customer projects.
- Adaptability to shifting customer requirements and priorities.
- Excellent problem-solving skills, creativity, and a strategic mindset.
- Ability to build strong relationships as a trusted advisor, ensuring technical, business and senior stakeholders stay informed and satisfied.
- Clear and effective communication skills, translating technical concepts for non-technical audiences.
- Thrive in a fast-paced environment with a passion for continuous learning and growth.
Bonus points for:
- Proficiency with JavaScript, HTML, and CSS for building front-end applications.
- Knowledge of large ERP systems (SAP, Oracle, Microsoft Dynamics, NetSuite, etc.).
- Vertical or subject matter expertise across Marketing, Finance, Sales Operations, Manufacturing, Supply Chain, etc.
- Familiarity with Security frameworks (e.g., JWT, OATH2).
Benefits
- A generous compensation/OTE package on offer.
- Stock options.
- An excellent benefits package.
- Private healthcare / dental.
- Meritocratic working environment and strong career progression opportunities.
- A fast growth, exciting business with an open and inclusive culture.
- Continuous learning and development.
- Great offices and flexible working.
This position is open to candidates eligible to work in the United Kingdom. Sponsorship is not on offer at this time.
Technical Adoption Engineer (Data/Analytics/AI) employer: Mind Detect
Contact Detail:
Mind Detect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Adoption Engineer (Data/Analytics/AI)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, Databricks, and various AI tools. Having hands-on experience or projects that showcase your skills with these platforms can set you apart during the interview process.
✨Tip Number 2
Engage with the company’s online presence by attending webinars or workshops they host. This not only shows your interest but also gives you insights into their culture and operations, which you can reference in your discussions.
✨Tip Number 3
Network with current employees or alumni who work in similar roles. They can provide valuable information about the company’s expectations and the nuances of the Technical Adoption Engineer position, helping you tailor your approach.
✨Tip Number 4
Prepare to discuss real-world scenarios where you've successfully driven technical adoption or solved complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your responses, demonstrating your problem-solving skills and customer engagement experience.
We think you need these skills to ace Technical Adoption Engineer (Data/Analytics/AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, AI, and customer engagement. Emphasise your technical skills in SQL, Python, and familiarity with cloud data warehouses like Snowflake and Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and how your background aligns with the responsibilities of the Technical Adoption Engineer role. Mention specific projects where you've successfully driven adoption or solved technical challenges.
Showcase Your Technical Expertise: Include examples of your experience with business intelligence platforms and any hands-on work with APIs. Highlight your problem-solving skills and ability to communicate complex technical concepts to non-technical audiences.
Prepare for Potential Interviews: Anticipate questions related to your experience with data architecture and integration strategies. Be ready to discuss how you would approach customer engagement and drive platform adoption effectively.
How to prepare for a job interview at Mind Detect
✨Showcase Your Technical Expertise
As a Technical Adoption Engineer, you'll need to demonstrate your proficiency in SQL, Python, and data modelling. Be prepared to discuss specific projects where you've successfully implemented these skills, especially in relation to cloud data warehouses like Snowflake and Databricks.
✨Prepare for Customer Engagement Scenarios
Since the role involves acting as a trusted advisor, think of examples where you've effectively engaged with customers. Highlight your experience in conducting webinars or training sessions, and be ready to explain how you helped clients achieve self-sufficiency with technology.
✨Understand the Business Value
It's crucial to translate technical concepts into business value. Prepare to discuss how you've previously identified use cases that drove adoption and enhanced customer satisfaction. This will show your ability to align technical solutions with business needs.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical technical challenges during the interview. Think through your approach to resolving issues related to data ingestion, transformation, and visualisation. Show your analytical mindset and creativity in finding solutions.