Data Engineer
Posted 2 days ago by Impellam Group
Negotiable
Inside
Hybrid
London Area, United Kingdom
Summary: Lorien's banking client is seeking a Data Engineer to join a newly formed team focused on a new project. The role involves designing, building, and maintaining scalable data pipelines with a strong emphasis on Scala-based processing and graph analytics. The position requires collaboration with data scientists and analysts to derive insights from complex datasets and is based in London with a hybrid working model. The role will be via an umbrella company, indicating an inside IR35 classification.
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, development, and maintenance of scalable data pipelines using Scala/Java.
- Proficient in modern distributed data processing frameworks.
- Experience with Quantexa is highly advantageous.
- Ability to implement graph analytics algorithms.
- Strong skills in complex data wrangling and transformation.
- Experience in developing and maintaining automation scripts.
- Knowledge of data quality, reliability, and performance management.
- Ability to collaborate with stakeholders effectively.
- Familiarity with data architecture and best practices.
- Experience in financial services environments.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
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.