At a Glance
- Tasks: Join our team to develop innovative data applications and enhance the Quantexa Platform.
- Company: Be part of a diverse tech company revolutionising data analytics since 2016.
- Benefits: Enjoy flexible hours, competitive salary, and perks like gym discounts and a dog-friendly office.
- Other info: Collaborative environment with opportunities for personal development and knowledge sharing.
- Why this job: Make a real impact in a fast-growing scale-up while working with cutting-edge technology.
- Qualifications: Strong coding skills, preferably in Scala or similar languages, and a passion for data processing.
The predicted salary is between 28800 - 48000 £ 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 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.
What will you be doing? You'll be joining the Applications team, which is an Engineering function within Quantexa's R&D department that is focused on internally building real‐world applications of the Quantexa Platform. This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardise and accelerate all Quantexa deployments. It encompasses four distinct sub‐teams:
- Data Engineering Accelerators
- Developing Quantexa's libraries for cleansing, parsing and standardising data used in entity resolution
- Finding efficiency/performance improvements through big data testing and building performance tooling
- Owning best practices in entity resolution and network building
- Data Feeds
- Building standardised and reusable code for processing various third party/open source data sets
- Managing an internal data lake for the provision of this data by other teams for testing and analytics
- Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling
- Demos
- Developing, deploying and maintaining all Quantexa demos, showcasing the different use‐cases for the Quantexa Platform
- Owning the Quantexa Trial platform, for prospective Quantexa clients to see the product in action using real data provided by Data Feeds
- Building tools to enable solution owners and sales to create their own custom demos
- SaaS
- Building Quantexa's emerging SaaS offering, a cloud hosted, standardised deployment of the Quantexa Platform
- Targeting mid‐market banks in the US for Retail AML initially, providing them with a cost‐effective Quantexa solution, then expanding in future to more use‐cases and geographies
- Implementing cutting‐edge features of the Quantexa Platform ensuring SaaS customers always on the latest and greatest of Quantexa
More detailed information on the day to day activities of the four sub‐teams can be shared on request. The teams all work together closely and team members are able to rotate between the teams to enable knowledge sharing and personal development.
We are looking for candidates who enjoy the following to join us:
- Data processing/ETL pipelines
- Analysing and examining real and varied data
- Full stack development, but with a heavy focus on the data processing/ETL side
- Solving difficult problems with efficient, resilient, high impact code
- Working in the cloud with production‐grade systems
- Defining best‐practices and sharing expertise you've developed
- Working in a fast moving, Agile environment
- Growing and thriving within one of the UK's fastest growing scale‐ups
Experience in the following would be beneficial:
- A strong coding background, ideally in Scala or otherwise in a relevant language that will allow you to learn Scala quickly (e.g. Java/Python)
- Big data, either from a software deployment/implementation or a data science perspective
- Working with big data technology, ideally Spark but others will also be useful such as Airflow or Elasticsearch
- Working in an Agile environment
- Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
- Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity
- Building and deploying SaaS products
Our perks and quirks. What makes you Q will help you to realise your full potential, flourish and enjoy what you do, while being recognised and rewarded with our broad range of benefits. We offer:
- Competitive salary and Company Bonus
- Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
- Pension Scheme with a company contribution of 6% (if you contribute 3%)
- 25 days annual leave (with the option to buy up to 5 days) + birthday off!
- Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12‐month period
- Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
- Private Healthcare with AXA
- EAP, Well‐being Days, Gym Discounts
- Free Calm App Subscription #1 app for meditation, relaxation and sleep
- Workplace Nursery Scheme
- Team's Social Budget & Company‐wide Summer & Winter Parties
- Tech & Cycle‐to‐Work Schemes
- Volunteer Day off
- Dog‐friendly Offices
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. It's important to us that you feel welcome, valued and respected. After all, it's your individuality and passion for what you do that will make you Q. We see that – which is why we're proud to be an Equal Opportunity Employer. We've created and will continue to improve our inclusive and diverse work environment. Regardless of your race, beliefs, colour, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness – whoever you are – if you are a passionate, curious and caring human being who wants to push the boundaries of what's possible, then we want to hear from you.
Associate Data Engineer in London employer: Quantexa
At Quantexa, we pride ourselves on being an exceptional employer, fostering a collaborative and inclusive culture that empowers our employees to excel. With competitive benefits, opportunities for continuous training and development, and a commitment to work-life balance, including a 'Work from Anywhere' policy, we ensure that our team members thrive both personally and professionally. Join us in London, where you will be part of a diverse global community dedicated to innovation and excellence in delivering impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Quantexa on LinkedIn, ask them about their experiences, and see if they can give you the inside scoop. A personal connection can really help your application stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your coding skills and understanding data processing concepts. Practice common technical questions and be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Show your passion for data engineering! During interviews, share your enthusiasm for tackling complex problems and how you’ve used data to drive decisions in past projects. Let them see your excitement for the role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Quantexa team.
We think you need these skills to ace Associate Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Associate Data Engineer role. Highlight your coding background, especially in Scala or similar languages, and any experience with big data technologies.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about joining Quantexa. Share specific examples of how your past experiences have prepared you for this role and how you can contribute to our mission.
Showcase Your Problem-Solving Skills:In your application, emphasise your ability to solve complex problems with efficient code. We love candidates who can demonstrate their analytical thinking and creativity in tackling challenges.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on being part of our team!
How to prepare for a job interview at Quantexa
✨Know Your Data Stuff
Make sure you brush up on your data processing and ETL pipelines. Be ready to discuss your experience with big data technologies like Spark or Airflow, as well as any coding languages you're familiar with, especially Scala. Show them you can talk the talk when it comes to data engineering!
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled difficult problems in your previous roles. Think about times when you wrote efficient, resilient code or improved data quality. This will demonstrate your ability to think critically and creatively, which is key for an Associate Data Engineer.
✨Get Familiar with Quantexa's Culture
Research Quantexa’s mission and values before the interview. They value collaboration and diversity, so be ready to discuss how you can contribute to their team dynamic. Showing that you align with their culture will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the specific projects the Applications team is working on or how they implement best practices in data engineering. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
