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.