Quantexa Engineer

Xander Talent; United Kingdom; Hybrid; GBP 32,000 - 45,000; Full time

Benefits offered by this job

Hybrid working

Job summary

Xander Talent is seeking a Junior Quantexa Engineer to join a growing delivery team in the UK. You will build and maintain entity resolution and network analytics solutions on the Quantexa platform, turning siloed client data into a single connected view to drive investigations and risk decisions.

Collaborating with senior engineers and data scientists, you will profile, cleanse and load data, write Scala/Spark code, and help design resolution rules and scoring models.

Qualifications

• Hands-on Quantexa experience gained as consultant or in-house
• Familiar with Scala and/or Java and SQL
• Experience with data pipelines, data mapping and data quality concepts

Responsibilities

• Configure and build data pipelines, entity resolution models and network analytics in Quantexa
• Profile, cleanse, map and load structured and unstructured client data
• Support design of resolution rules, scoring models and risk assessments
• Write and maintain Scala/Spark code for data transformation
• Test and validate pipeline outputs against requirements
• Document technical designs and data mappings
• Collaborate with data scientists and client stakeholders to translate requirements
• Support deployment, monitoring and troubleshooting of Quantexa solutions
• Contribute to knowledge sharing and delivery practices

Skills

Quantexa experience

Scala/Java

SQL

Apache Spark

Cloud platforms

Analytical thinking

Tools

Git

Quantexa platform

Apache Spark

Job description

We're looking for a Junior Quantexa Engineer to join a growing delivery team, building and maintaining entity resolution and network analytics solutions on the Quantexa platform. You'll work alongside senior engineers and data scientists to turn raw, siloed client data into a single connected view that drives investigations, risk decisions and operational insight. Candidates must already have hands‑on Quantexa experience, gained either as a consultant or within an in‑house/industry team.

Responsibilities:

• Configure and build data pipelines, entity resolution models and network analytics within the Quantexa platform
• Profile, cleanse, map and load structured and unstructured client source data
• Support senior engineers in designing and implementing resolution rules, scoring models and dynamic risk assessments
• Write and maintain Scala/Spark code for data transformation and processing within the pipeline
• Test, debug and validate pipeline outputs against business and client requirements
• Document technical designs, data mappings and configuration decisions
• Work with data scientists, analysts and client stakeholders to translate requirements into technical solutions
• Support deployment, monitoring and troubleshooting of Quantexa solutions in test and production environments
• Contribute to internal knowledge‑sharing and continuous improvement of delivery practices
• Essential: hands‑on Quantexa platform experience (pipeline configuration, entity resolution, network analytics), gained either as a consultant or in an industry/in‑house role.
• Working knowledge of Scala and/or Java, with exposure to Apache Spark
• Comfortable writing SQL and working with large, complex, multi‑source datasets
• Understanding of data modelling, data quality and entity resolution concepts
• Experience with version control (Git) and working within an Agile delivery team
• Strong analytical and problem‑solving skills, with close attention to detail when working with sensitive data
• Experience with cloud platforms (AWS, Azure or GCP), particularly their data services
• Exposure to Python for data analysis or automation
• Knowledge of graph theory or network analysis concepts
• Experience in financial services, insurance, government or another regulated sector
• Familiarity with CI/CD pipelines and DevOps practices
• Experience configuring the Quantexa front‑end/webapp layer

The detail:

• Hybrid working: typically 2–3 days per week on site, with the remaining time worked remotely
• Based in most parts of the UK. Candidates should be within a reasonable commute of a relevant client or office site, with occasional travel to other UK sites depending on the engagement