Rodeo
ResourcesPartnersSign in

Quantexa

Senior Data Engineer

London
Posted about 23 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

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.

Opportunity

Applications is an Engineering function within Quantexa’s R&D department that is focused on internally building real-world applications of the Quantexa Platform.

Data Engineers are focused on building the data infrastructure and processing capabilities that power Quantexa's platform and applications. This role focused on one of our Applications Teams:

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

Decision Systems

  • Developing Quantexa's core risk detection and scoring capabilities, expanding it to new industries and scenarios
  • Improving risk detection coverage by adding new Scores to detect additional types of Financial Crime
  • Building new tooling to allow users to configure detection logic more easily and effectively

The teams work together closely and team members are able to rotate between them to enable knowledge sharing and personal development.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

What do I need to have?

  • Experience designing and building robust, scalable data infrastructure to support high-volume, high-velocity data flows
  • Experience in developing and maintaining production-grade ETL and data processing pipelines, with a focus on performance, reliability, and maintainability
  • Strong analytical skills, with experience working on real-world, varied datasets to extract insights and improve data quality
  • Hands-on experience working with data in cloud-based environments, ideally with distributed systems and modern data platforms
  • Familiarity with performance tuning and optimisation techniques for data processing workflows
  • A collaborative mindset, with a track record of defining and sharing best practices across teams
  • Comfortable working in a fast-paced Agile environment, with a focus on iterative delivery and continuous improvement
  • A growth mindset and the drive to thrive 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 in a language such as Java or Python that supports a quick transition to Scala
  • Working with big data technologies, ideally Spark, but experience with tools like Airflow or Elasticsearch is also valuable
  • Manipulating and transforming data — cleansing, parsing, standardising — to improve data quality and integrity

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 period with our ‘Work from Anywhere’ policy
  • Employee Referral Program
  • Team Social Budget & Company-wide Socials

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

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.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Data Infrastructure Design
ETL Pipeline Development
Cloud Computing
Distributed Systems
Performance Tuning
Agile Methodology
Scala
Java
Python
Spark
Airflow
Elasticsearch
Data Cleansing
Data Parsing
Data Standardisation
Risk Detection

Location

London, England, United Kingdom

Sign up to applySee more jobs like this