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- Tasks: Drive customer engagement and adoption of a leading AI data platform through training and support.
- Company: Join a world-leading AI and data analytics platform transforming industries with cutting-edge technology.
- Benefits: Enjoy flexible working, stock options, private healthcare, and a meritocratic environment for career growth.
- Why this job: Be part of an exciting team that empowers customers to unlock insights and optimise performance with AI.
- Qualifications: STEM degree and 5+ years in a technical, data-focused consulting role; strong SQL and Python skills required.
- Other info: This role is based in London and open to UK work-eligible candidates only.
The predicted salary is between 48000 - 84000 £ per year.
World-leading, advanced data and analytics AI platform is searching for a Technical Adoption Engineer – EMEA—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 CDW’s 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.
- 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.
- 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).
- 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. This will not only help you understand the role better but also allow you to speak confidently about your experience during interviews.
✨Tip Number 2
Engage with online communities or forums related to data analytics and AI. Networking with professionals in these spaces can provide insights into the role and may even lead to referrals or recommendations.
✨Tip Number 3
Prepare to discuss real-world examples of how you've driven customer engagement and adoption in previous roles. Highlighting your experience in conducting webinars or training sessions will demonstrate your capability to fulfil the responsibilities of this position.
✨Tip Number 4
Stay updated on the latest trends in data analytics and AI. Being knowledgeable about current developments will not only impress interviewers but also show your commitment to continuous learning, which is highly valued in this fast-paced environment.
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. Use specific examples that demonstrate your technical expertise and problem-solving skills, particularly with tools like SQL, Python, and cloud data warehouses.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and how your background aligns with the role of Technical Adoption Engineer. Mention your experience in conducting training sessions or workshops, and how you can help customers drive adoption of the platform.
Showcase Technical Skills: Clearly outline your proficiency with business intelligence platforms and any experience with APIs, ETL processes, and data modelling. Highlight any familiarity with AI technologies and cloud data warehouses, as these are crucial for the role.
Demonstrate Soft Skills: Since this role involves customer engagement, emphasise your communication skills and ability to build relationships. Provide examples of how you've successfully collaborated with teams or mentored others to foster self-sufficiency.
How to prepare for a job interview at Mind Detect
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SQL, Python, and data modelling. Highlight specific projects where you've integrated cloud data warehouses like Snowflake or Databricks, as this will demonstrate your technical proficiency and relevance to the role.
✨Prepare for Customer Engagement Scenarios
Since the role involves acting as a trusted advisor, think of examples where you've successfully engaged with customers. Be ready to share how you facilitated training sessions or workshops, and how you helped clients overcome technical challenges.
✨Understand AI and Data Integration
Familiarise yourself with AI technologies and how they can enhance data insights. Be prepared to discuss your experience with integrating external AI tools and LLMs, as well as any relevant projects that showcase your ability to drive value through analytics.
✨Demonstrate Problem-Solving Skills
Expect to face technical problem-solving questions during the interview. Prepare to discuss specific challenges you've encountered in previous roles and how you approached resolving them, particularly in relation to data ingestion, transformation, and visualisation.
