Data Engineer

Lorien; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading financial services consultancy in London is seeking a Data Engineer to join a new team focused on developing scalable data solutions. The ideal candidate will have expertise in Scala-based data processing and graph analytics, with experience in building robust data pipelines. Collaborating closely with data scientists and analysts, this position offers a hybrid working model of 1-2 days on-site, facilitating innovative data-driven insights from complex datasets.

Qualifications

• Experienced in designing and maintaining scalable data pipelines using Scala/Java.
• Proficient in building graph-based data models for analyzing large datasets.
• Experience in financial services environments is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines and analytical solutions.
• Optimize graph-based data models and implement graph analytics algorithms.
• Monitor and troubleshoot data pipelines in production environments.

Skills

Scala-based data processing

Graph analytics

Data wrangling

Quantexa

Data pipeline design and optimization

Job description

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

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 (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.