Data Engineer (Quantexa)

Summary: The Data Engineer (Quantexa) role involves designing, building, and maintaining scalable data pipelines and analytical solutions, with a focus on Scala-based data processing and graph analytics. The position is hybrid, requiring 1-2 days a week on-site in London, and is aimed at supporting a newly built team within a financial services context. The ideal candidate will have experience with Quantexa and will collaborate closely with data scientists and analysts to derive insights from complex datasets.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Scala/Java and modern distributed data processing frameworks.
• Build and optimize graph-based data models to analyze relationships, networks, and dependencies across large datasets.
• Implement graph analytics algorithms (e.g., centrality, community detection, path analysis) to support advanced analytical use cases.
• Perform complex data wrangling and transformation on structured and semi-structured data.
• Develop and maintain scripts (e.g., Scala) to automate data ingestion, validation, and processing tasks.
• Ensure data quality, reliability, and performance across data workflows.
• Collaborate with stakeholders to translate business requirements into robust data solutions.
• Contribute to data architecture, best practices, and documentation.
• Monitor and troubleshoot data pipelines in production environments.
• Experience of working within financial services environments.

Key Skills:

• Experienced in design, develop, and maintain scalable data pipelines using Scala/Java and modern distributed data processing frameworks.
• Build and optimize graph-based data models to analyze relationships, networks, and dependencies across large datasets.
• Experienced with using and working with Quantexa is highly advantageous.
• Implement graph analytics algorithms (e.g., centrality, community detection, path analysis) to support advanced analytical use cases.
• Perform complex data wrangling and transformation on structured and semi-structured data.
• Develop and maintain scripts (e.g., Scala) to automate data ingestion, validation, and processing tasks.
• Ensure data quality, reliability, and performance across data workflows.
• Collaborate with stakeholders to translate business requirements into robust data solutions.
• Contribute to data architecture, best practices, and documentation.
• Monitor and troubleshoot data pipelines in production environments.
• Experience of working within financial services environments.

Salary (Rate): undetermined

City: City of London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Engineer (Quantexa)

Hybrid Working - London - 1-2 days a week on site.

Financial Services

Lorien's leading banking client is looking for a Data Engineer to join a newly built team on a new project.

The Ideal Candidate will design, build, and maintain scalable data pipelines and analytical solutions with a strong emphasis on Scala-based data processing, graph analytics, advanced data wrangling, and experienced in using and understanding Quantexa.

You will work closely with data scientists, analysts, and platform engineers to enable insights from complex, interconnected datasets.

This role is based in London.

This role will be Via Umbrella.

Working in a Hybrid Model of 1-2 days a week on site.

Key Skills and Experience

• Experienced in Design, Develop, And Maintain Scalable Data Pipelines Using Scala/Java And Modern Distributed Data Processing Frameworks.
• Build And Optimize Graph-Based Data Models to Analyse Relationships, Networks, And Dependencies Across Large Datasets.
• Experienced with using and working with Quantexa is highly advantageous.
• Implement Graph Analytics Algorithms (eg Centrality, Community Detection, Path Analysis) To Support Advanced Analytical Use Cases.
• Perform Complex Data Wrangling and Transformation on Structured and Semi-Structured Data.
• Develop And Maintain Scripts (eg Scala) To Automate Data Ingestion, Validation, And Processing Tasks.
• Ensure Data Quality, Reliability, And Performance Across Data Workflows.
• Collaborate With Stakeholders To Translate Business Requirements Into Robust Data Solutions.
• Contribute To Data Architecture, Best Practices, And Documentation.
• Monitor And Troubleshoot Data Pipelines In Production Environments.
• Experience of working within Financial Services Environments.

IND_PC3

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.