Python Engineer

Founded in 2016, Quantexa helps organizations make better decisions through Contextual Decision Intelligence, connecting data using dynamic entity resolution and network analytics.
Backend
Senior Software Engineer
Hybrid
101 - 500 Employees
5+ years of experience
AI · Enterprise SaaS

Description For Python Engineer

Quantexa, a rapidly growing company founded in 2016, is seeking a Senior Full Stack Python Engineer to join their R&D team. The company specializes in Contextual Decision Intelligence, helping organizations make better decisions through advanced data analysis and network analytics. With over 500 employees across 8 global locations, Quantexa is at the forefront of transforming how organizations use data.

The role sits within the R&D department, which comprises over 100 professionals working in agile teams. You'll be instrumental in developing products that help Tier 1 clients solve complex problems in fraud, compliance, and financial crime. The position offers the opportunity to work with cutting-edge technologies, including Python, PySpark, FastAPI, and various big data tools.

As a Senior Python Engineer, you'll collaborate with Data Scientists and Scala Engineers on both existing and greenfield projects. The role involves designing and implementing Platform APIs and tools that enable customers to leverage the Quantexa Platform's capabilities. The company processes massive volumes of data to detect anomalous and suspicious activity, making this an exciting opportunity for someone passionate about working with large-scale data systems.

Quantexa offers an inclusive work environment with competitive benefits, including healthcare, pension, and flexible leave policies. The company's commitment to growth, innovation, and employee development makes it an ideal place for engineers looking to make a significant impact in the field of data analytics and AI. The hybrid work model provides flexibility while maintaining collaborative opportunities in their London office.

Last updated 3 months ago

Responsibilities For Python Engineer

  • Work on Platform APIs and tools for customer use
  • Work alongside Data Scientists and Platform Scala Engineers
  • Build and shape next generation of products
  • Work on existing capabilities and greenfield projects
  • Process and query huge volumes of data for detecting anomalous and suspicious activity

Requirements For Python Engineer

Python
Scala
TypeScript
Kubernetes
  • Take pride in designing, building, and delivering high quality well engineered solutions to complex problems
  • Experience of the full engineering life cycle, from design to deployment
  • Proven track record of successful development within Python ecosystem
  • Experience working with PySpark, FastAPI, Pandas, NetworkX, Jupyter, and MLFlow
  • Experience working with Scala and TypeScript or willingness to learn
  • Take a big picture approach to solving problems

Benefits For Python Engineer

Medical Insurance
Vision Insurance
Dental Insurance
  • Competitive Salary
  • Company Bonus
  • Private Healthcare, Life Insurance, and Income Protection
  • Cyclescheme and Techscheme
  • Pension Scheme with 6% company contribution
  • 25 days annual leave plus birthday off
  • Option to buy/sell up to 5 days of leave

Interested in this job?

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