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Academy Lead - Data Engineering

What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we go. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

If our incredible culture sounds like you, we’d love you to join us.

The opportunity.

The Quantexa Academy is going through accelerated investments in people, delivery methods and content to drive customer and partner enablement and self-sufficiency.     

We are looking for an Academy Team Lead to work with us on this journey and correspondingly help us to support the respective individuals as they work their way through the existing Academy and at the same time to help us to continuously improve the Academy.  

What you’ll be doing: 

  • Playing a key role in enabling Quantexan’s, customers and partners to obtain our respective data engineering certifications through: 
    • Acting as a technical SME for the associated Data Engineering certification programs.  
    • Delivering live support calls targeted at solving the problems that candidates encounter whilst participating in our online certification programs. 
  • Assessing the capabilities of candidates with an end point of making the decision to award them the respective certification through: 
    • Marking assessments and making any associated code improvement recommendations according to best practice. 
    • Conducting Viva’s to assess candidate capabilities.  
  • Delivering additional online Academy support through the Quantexa Community Platform. 
  • Collaborating closely with the Training and Learning Management System Administrators to support the Academy administration processes.  
  • Delivering in-person training to both internal and external trainees, in the UK and abroad.  
  • Progressively obtaining our respective data engineering certifications.  
  • Using your technical knowledge and programming skills to develop new and update existing technical training programs in conjunction with associated organizational SME’s and stakeholders.   

What you’ll bring.

  • A passion for educating people, with an ability to communicate technical information to a range of audiences, both through the development and delivery of training programs.  
  • Strong people skills; the ability to gain the trust and respect of trainees, and to leave them with a feeling that the participation in our training programs was organised, enjoyable and worthwhile. 
  • You​’ll​ have a background in hands-on technical development, with at least ​​​​​​​​18 months of industry experience in a data engineering role or equivalent, and preferably some software industry experience.  
  • Proficiency in Scala, Spark, Java, Python, or a programming language associated with data engineering. Our primary language is Scala, but don’t worry if that’s not currently your strongest language​.​ ​W​e believe that strong engineering principles are universal and transferable.  
  • ​​​An understanding of how to build and deploy production level data processing batch systems​.​  
  • Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker, Bash scripting). You​’ll​ be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies.  
  • A strong technical communication ​ability​ with demonstrable experience of working in rapidly changing client environments.  

Our perks and quirks.  

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.  

We offer: 

  • Competitive salary & company bonus 💰
  • 23 days annual leave, plus national holidays + your birthday off!
  • Pension scheme with a company contribution of 5% (when you contribute 2%)
  • Private Healthcare with DKV
  • Life Insurance
  • Work from Home Allowance
  • Meal Vouchers
  • Regularly bench-marked salary rates 
  • Well-being days 
  • Volunteer Day off
  • Work from Home Equipment
  • Free Calm App Subscription #1 app for meditation, relaxation and sleep 🧘‍♀️ 
  • Continuous Training and Development, including access to Udemy Business 
  • Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
  • Employee Referral Program  
  • Team Social Budget & Company-wide Socials  

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It's all about you

We want you to feel welcome, valued, and respected—because it’s your individuality and passion that make you Q. We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer.

We are committed to fostering an inclusive and diverse work environment, continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or accommodations, please let our Talent Acquisition Team know—we’re happy to assist. 

No matter your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities—whoever you are—if you're a passionate, curious, and caring human eager to push the boundaries of what’s possible, we want to hear from you.

start. don’t stop – Apply.

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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Academy Lead - Data Engineering, Quantexa

At Quantexa, we’re on an exciting journey, and the role of Academy Lead - Data Engineering is not just another position; it’s a chance to truly make a difference. Since our inception in 2016, we’ve been innovating within the data analytics market and have taken our technology from FinTech to new horizons. We pride ourselves on our collaborative culture where ideas flourish, and everyone has a voice. You’ll be pivotal in empowering our customers and partners by guiding them through data engineering certification programs. Your role involves acting as a technical subject matter expert and delivering live support to candidates facing challenges in their online programs. You'll assess their skills, mark assessments, and provide code improvement recommendations, ensuring they’re ready to earn their certifications. Moreover, you will be involved in administering the Academy processes alongside Training and Learning Management System Administrators. This position is designed for someone who is passionate about education and capable of conveying complex technical concepts simply. If you’re skilled in Scala, Spark, Java, or Python and have a solid foundation in data engineering principles, along with modern development tools like Jenkins and Docker, you’ll thrive here. Join us at Quantexa to help businesses grow by making data easier and creating a more inclusive, diverse, and vibrant workplace for all.

Frequently Asked Questions (FAQs) for Academy Lead - Data Engineering Role at Quantexa
What are the main responsibilities of the Academy Lead - Data Engineering at Quantexa?

The Academy Lead - Data Engineering at Quantexa plays a crucial role in enabling customers and partners to achieve data engineering certifications. This includes delivering live support sessions, assessing candidate capabilities through marking and Vivas, and developing training materials. Additionally, you'll collaborate with various administrators to streamline the Academy's operations while implementing continued improvements.

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What qualifications are required for the Academy Lead - Data Engineering position at Quantexa?

Candidates applying for the Academy Lead - Data Engineering role at Quantexa should have a minimum of 18 months of industry experience in a data engineering role. Proficiency in programming languages such as Scala, Spark, and Python is essential. Strong communication skills and a passion for teaching others are also vital to effectively share technical knowledge across diverse audiences.

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How does the Academy Lead - Data Engineering contribute to team culture at Quantexa?

As an Academy Lead - Data Engineering, you will be at the heart of fostering an inclusive and collaborative culture at Quantexa. Your role involves connecting with trainees, earning their trust, and enhancing their learning experience. By encouraging open discussions and improvements in training delivery, you’ll contribute to an environment where everyone's input is valued.

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What kind of training and development opportunities are available for the Academy Lead - Data Engineering at Quantexa?

Quantexa offers a range of continuous training and development opportunities for the Academy Lead - Data Engineering. Employees have access to Udemy Business and utilize a 'Work from Anywhere' policy, along with regular well-being days. There is a strong focus on personal growth, ensuring that you can advance your skills and career within a supportive framework.

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What impact does the Academy Lead - Data Engineering have on Quantexa's mission?

The Academy Lead - Data Engineering plays a key role in driving Quantexa's mission to help businesses grow and simplify data processes. By preparing individuals for certification, the lead helps enhance the skills of teams that will ultimately leverage Quantexa's technology solutions, further contributing to a better data-driven world.

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Common Interview Questions for Academy Lead - Data Engineering
Can you describe your experience in data engineering and how it relates to the Academy Lead role at Quantexa?

When answering this question, it's essential to provide concrete examples of your prior work in data engineering. Highlight your technical skills, particularly with languages such as Scala or Python, and explain how these experiences have equipped you to support candidates in their certification journey. Emphasize your passion for education and how you intend to use your knowledge to empower others.

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How would you approach the task of developing training programs for various skill levels?

To answer this, you should discuss the importance of assessing the current skill levels of your audience. You might explain a structured approach to developing tiered training programs, ensuring foundational concepts are covered before advancing to more complex topics. Mention the use of feedback from trainees to continuously improve materials.

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What strategies would you use to maintain the interest of trainees during online certification courses?

Highlight interactive elements such as live Q&A sessions, hands-on projects, and real-world examples related to the data engineering certification. Encourage collaboration in a community platform to foster peer discussions, making the learning experience engaging and practical.

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How do you ensure the accuracy and relevance of the training materials you deliver?

Your answer should include a commitment to continuous learning and regular updates of training materials to reflect the latest industry standards and technologies. You can mention collaborating with SMEs, soliciting feedback, and participating in professional development to keep content fresh and applicable.

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What role do you think hands-on experience plays in data engineering education?

Discuss the critical nature of hands-on experience in data engineering. You could explain that practical applications reinforce theoretical knowledge, allowing trainees to gain confidence in their skills. Mention how you would incorporate projects or labs into training to bridge the gap between theory and practice.

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What are your thoughts on the importance of diversity and inclusion in a tech training environment?

Share your understanding that diversity and inclusion foster innovation and creativity. Emphasize how you believe a variety of perspectives enriches learning outcomes and enhances problem-solving abilities, making it essential to create an environment where everyone feels welcome to share their insights.

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How would you handle difficult or disengaged trainees during a course?

Address your approach to understanding the root cause of disengagement. Discuss employing various engagement techniques, such as one-on-one check-ins, adapting your teaching style, or offering additional support to help rekindle interest and motivation.

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Can you explain how you would assess whether a trainee is ready for certification?

Describe your method for assessments, highlighting the importance of both theoretical knowledge and practical application in determining readiness. Discuss using a combination of quizzes, project work, and Viva assessments to gain a comprehensive view of a candidate's capabilities.

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What modern development tools and methods do you use in data engineering, and how would you bring this knowledge to your training programs?

In your response, be specific about the tools you are familiar with, like Git, Jenkins, and Docker, and how these technologies enhance data engineering processes. Explain how you would incorporate these tools into training, perhaps through real-world scenarios or projects, to help trainees understand their application.

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Why do you want to work at Quantexa as an Academy Lead - Data Engineering?

Articulate your enthusiasm for Quantexa’s mission and values. Share specific elements of the company's culture and innovative spirit that resonate with you. Discuss how you see this role as an opportunity to make a meaningful impact in the data engineering community while growing professionally within a diverse organization.

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Quantexa’s Contextual Decision Intelligence is a new approach to data that gives organizations the ability to connect internal and external data sets to provide a single view, enriched with intelligence about the relationships between people, pla...

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Full-time, remote
DATE POSTED
February 20, 2025

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