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Python Engineer

At Quantexa we believe that people and organizations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence. Contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organizations - all in one place - so you gain the context you need to make more accurate decisions, faster.

Founded in 2016 with only a handful of individuals, Quantexa was built with a purpose that through a greater understanding of context, better decisions can be made. 8 years, 8 locations and 500+ employees later we still believe that today. We connect the dots within our Customers data using dynamic entity resolution and advanced network analytics to create context, empowering businesses to see the bigger picture and drive real value from their data.

Due to the continuous success and high demand from our customers, we are looking for a Senior Full Stack Python Engineer to join our growing R&D team to build and shape the next generation of products that transform how organizations around the world use data. Headquartered in London with significant offices in New York, Boston, Toronto, Sydney, Singapore, Brussels, and Malaga; Quantexa is continuing its expansion within the UK, building on our core values of Determination, Ambition, Teamwork and Accountability.

What will you be doing?

You'll be joining Quantexa's dedicated Research and Development team which is at the heart of everything we do here. The team is continuously working on new and innovative products, helping our Tier 1 clients solve business problems in the area of fraud, compliance and financial crime. Our products process and query huge volumes of data with the ultimate aim of detecting anomalous and suspicious activity.

The R&D department consists of over 100 people split into agile teams of Engineers, Product Managers, Designers, QA, and others each focusing on specific projects and areas of the Platform.

We pride ourselves on using latest and leading open source Big Data and AI technologies, and are extending our solutions to have enhanced support for Python. You will be working alongside our Data Scientists and Platform Scala Engineers on existing capabilities and greenfield projects, exploring new opportunities created as a result of technological advancements. You will work on the Platform APIs and tools which we deliver to our customers allow them to utilise the Quantexa Platform's capabilities to solve their business problems.

What you need to have?

  • Take pride in designing, building, and delivering high quality well engineered solutions to complex problems.
  • Have experience of the full engineering life cycle, from design and implementation through to testing and deployment.
  • A proven track record of successful development within the broader Python ecosystem.
  • Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system.
  • Experience working with common Python libraries and toolchains: PySpark, FastAPI, Pandas, NetworkX, Jupyter, and MLFlow.
  • Experience working with Scala and TypeScript or the willingness to learn.
  • Passion and drive to grow within one of the UK's fastest growing scale-ups.

Experience in the following would be beneficial:

  • Experience developing solutions around Generative AI technologies
  • Experience working with any of the following technologies or libraries: Hadoop, Docker, Kubernetes, Elasticsearch, Gradle
  • Experience with Cloud platforms (we use GCP & Azure internally)
  • Experience building software which deploys to both on-premise and cloud Environments
  • Experience mentoring junior Engineers

Why join Quantexa?

We offer:  

  • Competitive Salary  
  • Company Bonus  
  • Private Healthcare, Life Insurance, and Income Protection  
  • Cyclescheme and Techscheme  
  • Pension Scheme with a company contribution of 6% (if you contribute 3%)  
  • 25 days annual leave (with the option to buy/sell up to 5 days) + birthday off!  
  • Amazing work environment 

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

Quantexa is proud to be an Equal Opportunity Employer. We’re dedicated to creating an inclusive and diverse work environment, where everyone feels welcome, valued, and respected. We want to hear from people who are passionate about their work and align with our values. Qualified applications will receive consideration for employment without regard to their race, colour, ancestry, religion, national origin, sex, sexual orientation, gender identity, age, citizenship, marital, disability, or veteran status. Whoever you are, if you’re a curious, caring, and authentic human being who wants to help push the boundaries of what’s possible, we want to hear from you.


Internal pay equity across departments is crucial to our global compensation philosophy. Grade level and salary ranges are determined through interviews and a review of experience, education, training, knowledge, skills, and abilities of the applicant, equity with other team members, and alignment with market data.


Quantexa is committed to providing reasonable accommodations in our talent acquisition processes. If you require support, please inform our Talent Acquisition Team.

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CEO of Quantexa
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Vishal Marria
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What You Should Know About Python Engineer, Quantexa

At Quantexa, we're on a mission to revolutionize the way decisions are made by harnessing the power of Contextual Decision Intelligence. As a Senior Full Stack Python Engineer, you'll be stepping into a vibrant culture that prioritizes creativity, innovation, and collaboration. Our R&D team is at the forefront of developing cutting-edge products that tackle issues like fraud, compliance, and financial crime for our prestigious Tier 1 clients. With our headquarters in London and offices around the globe, we’re not just growing; we’re thriving! In this role, you'll collaborate closely with talented Data Scientists and Scala Engineers to create robust solutions that can process vast data volumes efficiently. We're looking for someone passionate about Python who can navigate the full engineering life cycle, from design to deployment, while utilizing leading-edge technologies like PySpark and FastAPI. At Quantexa, your contributions will help empower businesses to see the bigger picture, transforming the way they utilize their data. You’ll be a crucial part of an agile team within a supportive environment that values determination, ambition, teamwork, and accountability. If you’re excited about building impactful applications and mentoring junior engineers, this is the opportunity for you. Join us, and let’s drive real value from data together!

Frequently Asked Questions (FAQs) for Python Engineer Role at Quantexa
What responsibilities does a Senior Full Stack Python Engineer at Quantexa have?

As a Senior Full Stack Python Engineer at Quantexa, you will design, build, and deliver high-quality solutions that address complex problems. Your role involves collaborating with Data Scientists and Scala Engineers on both existing and new projects, utilizing leading technologies within the Python ecosystem, and ensuring that the solutions align with the broader system requirements while developing APIs and tools for our clients.

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What qualifications are needed for the Senior Full Stack Python Engineer position at Quantexa?

To qualify for the Senior Full Stack Python Engineer role at Quantexa, candidates should possess a proven track record in Python development, experience with the full engineering life cycle, and familiarity with Python libraries such as PySpark, FastAPI, and Pandas. An interest in Scala and TypeScript, as well as experience with cloud platforms like GCP or Azure, are beneficial.

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What technologies should I be familiar with to apply for the Senior Full Stack Python Engineer role at Quantexa?

Candidates for the Senior Full Stack Python Engineer position at Quantexa should be well-versed in common Python libraries such as PySpark, FastAPI, and Pandas, as well as have a foundational knowledge of Scala and TypeScript. Familiarity with tools like Docker, Kubernetes, and cloud platforms like GCP or Azure will be advantageous.

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What is the culture like at Quantexa for a Senior Full Stack Python Engineer?

The culture at Quantexa is one of collaboration, creativity, and inclusivity. As a Senior Full Stack Python Engineer, you’ll be joining a team that values determination, ambition, teamwork, and accountability. We foster an environment where everyone’s ideas are valued and professional growth is encouraged, making it an exciting place to further your career.

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What career growth opportunities does Quantexa offer for a Senior Full Stack Python Engineer?

Quantexa is committed to employee development, and as a Senior Full Stack Python Engineer, you will have numerous opportunities to grow your skills and advance your career. You'll be working on innovative projects and have the chance to mentor junior engineers, making a meaningful impact while exploring advanced technologies and solutions in a supportive setting.

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Common Interview Questions for Python Engineer
Can you explain your experience with the Python ecosystem for the Senior Full Stack Python Engineer role?

When answering this question, emphasize your proficiency in Python and highlight specific libraries you’ve worked with, such as PySpark or Pandas, and any projects where you utilized these technologies. Include examples of how you approached problem-solving in these projects and what results you achieved, demonstrating your ability to deliver quality solutions.

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Describe a complex problem you've solved in your previous roles as a Python Engineer.

When discussing a complex problem, briefly outline the challenge, the solution you proposed, and the steps taken to implement it. Focus on how you collaborated with others during the process and the positive outcomes of the solution, reinforcing your problem-solving skills and collaborative approach.

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What methodologies do you use to ensure the quality of your code?

Discuss your experience with coding standards, unit testing, integration testing, and code reviews. Mention tools or frameworks you use to automate testing and ensure code quality and how these practices help deliver reliable software.

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How do you approach collaborating with Data Scientists and other team members?

Share your strategies for effective collaboration, such as open communication, regular meetings, and utilizing Agile methodologies. Highlight any successful collaborations and how they contributed to project success, emphasizing the importance of teamwork in achieving goals.

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What do you find most exciting about working in the field of data and analytics?

Express your passion for the data and analytics field, discussing its potential for innovation and impact. You could mention how data-driven decisions can transform businesses and improve outcomes, and how you are excited to contribute to this change as a Senior Full Stack Python Engineer.

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Can you explain your experience with deploying solutions in cloud environments?

Elaborate on any projects where you designed and deployed solutions in cloud platforms like GCP or Azure. Describe technologies you utilized, the deployment process, and the benefits achieved, showcasing your familiarity and comfort with modern cloud infrastructures.

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What strategies do you employ to keep up with emerging technologies in Python?

Discuss your methods for staying updated, such as following tech blogs, participating in webinars, or engaging with community forums. Share any specific examples of how you've applied new technologies or concepts you've learned in your past projects to enhance your work.

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How do you prioritize tasks and manage your time during a software development project?

Highlight your approach to task prioritization, such as using project management tools or frameworks like Agile. Discuss how you balance short-term and long-term objectives while ensuring deadlines are met, and share any techniques you use to stay organized and focused.

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What have you learned from mentoring junior engineers?

Share insights gained from mentoring experiences, focusing on what you’ve learned about communication, guidance, and the importance of fostering a supportive learning environment. Discuss how mentoring has enhanced your leadership skills and how you adapt your mentoring style to fit various learning styles.

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How do you handle feedback and criticism regarding your code and projects?

Discuss your openness to feedback and the constructive approach you take when receiving criticism. Explain how you view feedback as an opportunity for growth and improvement, and provide an example of how you have successfully integrated feedback into your work to enhance your skills.

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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, on-site
DATE POSTED
December 2, 2024

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