At a Glance
- Tasks: Lead the Quantexa Academy, supporting customers and partners in data engineering certifications.
- Company: Join Quantexa, a pioneering tech company transforming data analytics since 2016.
- Benefits: Enjoy competitive salary, 25 days leave, private healthcare, and remote work options.
- Why this job: Be part of a diverse team on a mission to make data easier and impactful.
- Qualifications: Must have 18 months in data engineering and proficiency in programming languages like Scala or Python.
- Other info: Embrace a culture of inclusivity and continuous learning with opportunities to work abroad.
The predicted salary is between 36000 - 60000 £ per year.
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 solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can 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 SMEs and stakeholders.
Requirements 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. We 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.
Benefits Our perks and quirks:
- Competitive salary
- Company bonus
- 25 days annual leave (with the option of buying up to 5 days, and rolling over up to 10), plus national holidays + your birthday off!
- Pension scheme with a company contribution of 6% (when you contribute 3%)
- Private Healthcare with AXA, including dental & optic cover
- Life Insurance and Income Protection
- Regularly bench-marked salary rates
- Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
- Well-being days
- Volunteer Day off
- Work from Home Equipment
- Commuter, Tech and cycle to work schemes
- Octopus EV Salary Sacrifice scheme
- 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.
Academy Team Lead (London) employer: Quantexa
Contact Detail:
Quantexa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Academy Team Lead (London)
✨Tip Number 1
Familiarise yourself with Quantexa's technology and its applications in data analytics. Understanding their unique approach will not only help you during interviews but also demonstrate your genuine interest in the company and its mission.
✨Tip Number 2
Network with current or former employees of Quantexa on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial when discussing your fit for the Academy Team Lead role.
✨Tip Number 3
Prepare to showcase your technical skills by brushing up on Scala, Spark, and other relevant programming languages. Be ready to discuss your hands-on experience and how it relates to the responsibilities of the Academy Team Lead position.
✨Tip Number 4
Highlight your passion for education and training during any discussions. Share examples of how you've successfully communicated complex technical concepts to diverse audiences, as this aligns closely with the role's requirements.
We think you need these skills to ace Academy Team Lead (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and technical development. Emphasise your proficiency in programming languages like Scala, Spark, Java, or Python, as well as any hands-on experience with modern development tools.
Craft a Compelling Cover Letter: In your cover letter, express your passion for educating others and your ability to communicate complex technical information. Mention specific examples of how you've successfully delivered training or support in the past.
Showcase Your Technical Skills: Include a section in your application that details your technical skills and experiences, particularly those related to data processing systems and DevOps practices. This will demonstrate your capability to fulfil the role's requirements.
Highlight Cultural Fit: Quantexa values diversity and collaboration. In your application, mention how your background and experiences align with their inclusive culture. Share any relevant experiences that showcase your ability to work in diverse teams.
How to prepare for a job interview at Quantexa
✨Show Your Passion for Education
Make sure to express your enthusiasm for educating others during the interview. Share examples of how you've successfully communicated complex technical information to diverse audiences, as this is crucial for the Academy Team Lead role.
✨Demonstrate Technical Expertise
Be prepared to discuss your hands-on experience in data engineering and your proficiency in relevant programming languages like Scala, Spark, Java, or Python. Highlight specific projects where you applied these skills, especially in building and deploying data processing systems.
✨Emphasise Collaboration Skills
Since the role involves working closely with various stakeholders, showcase your ability to collaborate effectively. Provide examples of past experiences where teamwork led to successful outcomes, particularly in training or technical support contexts.
✨Prepare for Technical Assessments
Expect to be assessed on your technical knowledge and problem-solving abilities. Brush up on best practices in data engineering and be ready to discuss how you would approach marking assessments and providing code improvement recommendations.