Start Date
Immediate
Expiry Date
07 Jan, 27
Salary
30000.0
Posted On
09 Oct, 26
Experience
1 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services;Software Development & Publishing
Senior Data Engineer
Location: Sheffield or Birmingham
A leading global financial services organisation is seeking a Senior Data Engineer to join its
Cybersecurity Science & Analytics function.
The successful consultant will join a multi-skilled Platform & Data Engineering team responsible for
delivering engineering capabilities across a strategic cybersecurity data lake and analytics platform.
The role combines data engineering, cloud infrastructure, automation, platform operations and
production support responsibilities.
Responsibilities
• Design, develop and optimise cloud-based data pipelines and ETL workflows.
• Ingest data from internal and external sources into enterprise data platforms.
• Create and maintain curated datasets and reusable data assets.
• Improve reliability, automation and operational resilience of data services.
• Support Azure cloud infrastructure and data platform operations.
• Work closely with engineering teams to onboard new data sources and define schemas.
• Contribute to exploratory data analysis and platform enhancement initiatives.
• Support real-time analytics and data availability improvements.
Essential Skills
• Strong Data Engineering experience.
• Azure cloud platform expertise.
• Enterprise ETL and data pipeline development.
• Python or equivalent scripting experience.
• SQL and/or Kusto Query Language (KQL).
• GitHub and CI/CD practices.
• Linux administration and scripting.
• Infrastructure as Code, ideally Terraform.
• Azure DevOps.
• SRE / production support experience.
Desirable Skills
• Azure Data Factory
• Databricks
• Unity Catalog
• Synapse Analytics
• Kubernetes• Azure Functions
• Logic Apps
• Kafka or Azure Event Hubs
• Spark Streaming
• Prometheus
• Grafana
• Elasticsearch
• Cosmos DB
• Power BI
• SIEM and SOAR platforms
Experience
• Large enterprise environments
• Cloud-based data platforms
• Data lake architecture and delivery
• Regulated industries advantageous
• Cybersecurity experience beneficial but not essential
Working Environment
• Collaborative global engineering team
• Multi-disciplinary technology environment
• Strong learning and development culture
• Exposure to cybersecurity, cloud platform engineering and advanced analytics
Senior Data Engineer
Location: Sheffield or Birmingham
A leading global financial services organisation is seeking a Senior Data Engineer to join its
Cybersecurity Science & Analytics function.
The successful consultant will join a multi-skilled Platform & Data Engineering team responsible for
delivering engineering capabilities across a strategic cybersecurity data lake and analytics platform.
The role combines data engineering, cloud infrastructure, automation, platform operations and
production support responsibilities.
Responsibilities
• Design, develop and optimise cloud-based data pipelines and ETL workflows.
• Ingest data from internal and external sources into enterprise data platforms.
• Create and maintain curated datasets and reusable data assets.
• Improve reliability, automation and operational resilience of data services.
• Support Azure cloud infrastructure and data platform operations.
• Work closely with engineering teams to onboard new data sources and define schemas.
• Contribute to exploratory data analysis and platform enhancement initiatives.
• Support real-time analytics and data availability improvements.
Essential Skills
• Strong Data Engineering experience.
• Azure cloud platform expertise.
• Enterprise ETL and data pipeline development.
• Python or equivalent scripting experience.
• SQL and/or Kusto Query Language (KQL).
• GitHub and CI/CD practices.
• Linux administration and scripting.
• Infrastructure as Code, ideally Terraform.
• Azure DevOps.
• SRE / production support experience.
Desirable Skills
• Azure Data Factory
• Databricks
• Unity Catalog
• Synapse Analytics
• Kubernetes• Azure Functions
• Logic Apps
• Kafka or Azure Event Hubs
• Spark Streaming
• Prometheus
• Grafana
• Elasticsearch
• Cosmos DB
• Power BI
• SIEM and SOAR platforms
Experience
• Large enterprise environments
• Cloud-based data platforms
• Data lake architecture and delivery
• Regulated industries advantageous
• Cybersecurity experience beneficial but not essential
Working Environment
• Collaborative global engineering team
• Multi-disciplinary technology environment
• Strong learning and development culture
• Exposure to cybersecurity, cloud platform engineering and advanced analytics
Linked-in
Google