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- Tasks: Engage with customers to implement and optimise AI and data solutions through training and workshops.
- Company: Join a leading data and analytics AI platform transforming industries with innovative technology.
- Benefits: Enjoy flexible working, private healthcare, stock options, and a meritocratic environment for growth.
- Why this job: Be part of a fast-paced team driving impactful change in data and AI while developing your skills.
- Qualifications: STEM degree and 5+ years in a technical, customer-facing role with strong SQL and Python skills required.
- Other info: Candidates must be eligible to work in the UK; sponsorship is not 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 – 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.
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 data and analytics tools mentioned in the job description, such as Snowflake and Databricks. Having hands-on experience or even just a solid understanding of these platforms will help you stand out during interviews.
✨Tip Number 2
Engage with online communities or forums related to AI and data analytics. This can provide you with insights into common challenges faced by users and how to address them, which is crucial for a role focused on customer engagement and technical problem-solving.
✨Tip Number 3
Prepare to discuss your previous experiences where you've successfully driven platform adoption or customer enablement. Be ready to share specific examples that highlight your ability to mentor and train customers effectively.
✨Tip Number 4
Stay updated on the latest trends in AI technologies and data analytics. Being knowledgeable about emerging tools and techniques will not only impress your interviewers but also demonstrate your commitment to continuous learning and growth in this fast-paced field.
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 technical roles, particularly those involving data analytics and customer engagement. Emphasise your proficiency with SQL, Python, and any business intelligence platforms you've used.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI technologies. Mention specific projects where you've driven adoption or solved technical challenges, showcasing your problem-solving skills and ability to mentor others.
Showcase Technical Skills: Clearly outline your technical skills related to data architecture, ETL processes, and cloud data warehouses like Snowflake and Databricks. Provide examples of how you've integrated AI tools in past roles to enhance data insights.
Prepare for Interviews: Be ready to discuss your experience in customer-facing roles and how you've successfully managed technical projects. Prepare to explain complex technical concepts in simple terms, as this will demonstrate your communication skills.
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 integrated cloud data warehouses like Snowflake or Databricks, and how you tackled technical challenges.
✨Prepare for Customer Engagement Scenarios
Since the role involves mentoring customers and conducting training sessions, think of examples where you've effectively communicated complex technical concepts to non-technical audiences. Practice explaining how you would guide a customer through a typical implementation process.
✨Highlight Your Problem-Solving Skills
Expect questions that assess your ability to resolve technical issues. Prepare to discuss past experiences where you identified problems, developed solutions, and implemented them successfully, especially in relation to data ingestion and visualisation.
✨Demonstrate Adaptability and Continuous Learning
The fast-paced nature of this role requires adaptability. Share instances where you've had to adjust to shifting priorities or learn new technologies quickly. Emphasise your passion for continuous learning, particularly in AI and data analytics.
