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For Companies At a Glance
- Tasks: Lead a team of data engineers to deliver innovative big data solutions.
- Company: Join Quantexa, a pioneering tech company transforming data analytics since 2016.
- Benefits: Enjoy competitive salary, flexible work options, and wellness perks like private healthcare and meditation subscriptions.
- Why this job: Be part of a diverse team tackling impactful challenges in various industries.
- Qualifications: 5+ years in data engineering, with leadership experience 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 48000 - 72000 £ per year.
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 can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team.
If our incredible culture sounds like you, we’d love you to join us.
The opportunity.
Our Quantexa Delivery team is all about bringing context to data. Lead Data Engineers are drivers within our fast-paced delivery teams, implementing Quantexa’s innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. We are problem solvers, delivering sophisticated end-to-end big data solutions to our internal and external client stakeholders. As a central part of our team, you will experience opportunities beyond that of an engineer. You enjoy leading by example, guiding and mentoring data engineers to solve complex technical problems, sharing success with the team and taking pride in achieving milestones together. You share success with the team and take pride in the sum of its achievements. You will balance your time engaging with our business teams and clients to break down requirements into technical tasks, working hands-on as a programmer, and supporting the work of other engineers within a collaborative environment.
The work you do here will be impactful. The challenges we tackle are big, but they\’re also incredibly rewarding. Your leadership in managing, transforming, and cleansing high volume data help our clients solve business problems across a wide range of areas including fraud, financial crime, data management, risk and customer intelligence.
What you’ll be doing.
- You will lead, support, and mentor a team of junior data engineers within an agile framework.
- Write defensive, fault tolerant and efficient code for production level data processing systems.
- You’ll configure and deploy Quantexa’s software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
- You will be a trusted source of knowledge to your clients. You will articulate technical concepts to a non-technical audience helping them to make big decisions.
- Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.
What you’ll bring.
- You’ll have a background in hands-on technical development, with at least five years of industry experience in a data engineering role or engineering equivalent, and at least 2 years of experience acting in a lead role within a data or software engineering team.
- Proficiency in Scala, 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 transferrable.
- You’ll have expertise building and deploying production level data processing batch systems maintained by application support teams. Importantly you’ll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
- Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old 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.
- Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Knows the difference between different test types (unit test, integration test) and can cite specific examples of what they have written themselves.
Nice to haves.
- Experience growing and up-skilling team members as a career mentor, technical line manager, or acting in an equivalent guidance role.
- A passion for expanding the business – and leading initiatives to do so.
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.
- 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 periodwith 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 youQ. 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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Lead Data Engineer employer: Quantexa Limited
Contact Detail:
Quantexa Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Quantexa's technology stack, especially Scala, Spark, and Hadoop. Understanding these tools will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've mentored junior engineers or led projects in the past. Quantexa values collaboration and guidance, so highlighting these experiences can set you apart.
✨Tip Number 3
Research Quantexa's impact in various domains like banking and healthcare. Being able to discuss specific challenges they face and how your skills can address them will make a strong impression during your conversations.
✨Tip Number 4
Prepare to articulate complex technical concepts in simple terms. Since you'll be working with non-technical clients, demonstrating your ability to communicate effectively will be crucial in showcasing your fit for the role.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly any leadership roles. Emphasise your proficiency in Scala, Java, or Python, and include specific examples of projects where you've implemented big data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with Quantexa's mission. Mention your experience in mentoring junior engineers and your ability to communicate technical concepts to non-technical audiences.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially those related to modern development tools and technologies like Git, Jenkins, and Docker. Highlight any experience you have with production-level data processing systems.
Demonstrate Cultural Fit: Quantexa values diversity and collaboration. In your application, mention any experiences that showcase your ability to work in diverse teams and your commitment to fostering an inclusive environment. This will help demonstrate that you align with their company culture.
How to prepare for a job interview at Quantexa Limited
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your proficiency in programming languages like Scala, Java, or Python. Be prepared to discuss specific projects where you've implemented these skills, and consider bringing examples of your code or systems you've built.
✨Emphasise Leadership Experience
Highlight your experience in leading teams and mentoring junior engineers. Share specific instances where you've guided your team through complex challenges, as this role requires strong leadership and collaboration within an agile framework.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll be articulating technical concepts to non-technical audiences, practice explaining complex ideas in simple terms. Prepare examples of how you've successfully communicated with clients or business teams in the past.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've tackled significant data engineering challenges. Think of specific problems you've solved, the approaches you took, and the outcomes. This will show your potential employer that you're a proactive problem solver who can deliver impactful solutions.
