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# Senior Data Engineer

- **Company:** LTM
- **Location:** Sheffield, UK
- **Experience:** Expert
- **Salary:** £135,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Artificial Intelligence, Data Analysis, Apache HTTP Server, Microsoft Azure, Bash Shell, Cloud Computing, Computer Programming, Databases, Continuous Integration, Data Cleansing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transport Utility, Data Warehousing, Linux, Elasticsearch, Github, Revision Control Systems, Identity and Access Management, Python (Programming Language), Linux System Administration, Log Analysis, Nginx, Windows PowerShell, Power BI, Azure Active Directory, Ansible, Prometheus, Kusto Query Language, Standard Sql, Azure Data Lake, Security Information and Event Management, SQL Databases, Data Streaming, Scripting, Data Ingestion, Azure Data Factory, Delivery Pipeline, Grafana, Azure Powershell, Kubernetes, Infrastructure Automation Frameworks, Storage Technologies, Deployment Automation, Apache Kafka, Spark Streaming, Cloud Optimization, Terraform, Stream Analytics, Data Pipelines, Databricks
- **Published:** August 4, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=780e8e136fff50bb

## About the Role

* Experience with SRE principles and Azure DevOps
 * Strong scripting skills using Bash PowerShell and Azure CLI
 * Programming experience with Python C Java and objectoriented development
 * Strong SQL and Kusto Query Language KQL experience
 * Experience with GitHub source control systems and CICD pipelines
 * Strong Linux administration and scripting experience
 * Knowledge of networking operating systems storage technologies and infrastructure fundamentals
 * Experience in Data Acquisition and CloudBased Data Pipelines
 * Experience with Data Transport Data Cleaning and Data Integration
 * Strong Data Engineering pipeline automation productionization and optimization skills
 * Experience designing and maintaining ETL workflows and largescale data pipelines
 * Knowledge of Data Warehousing Data Modeling and Data Cataloguing
 * Experience with RealTime Analytics and Streaming Data Platforms
 * Cloud Cost Optimization experience
 * Strong Azure platform knowledge including Azure AD Azure IAM Networking Compute Storage Databases and Containers
 * Experience with Azure Data Factory Azure Databricks Unity Catalog Azure Functions Azure Logic Apps Azure Monitor Azure Log Analytics Azure Data Lake Synapse Analytics and Power BI
 * Experience with Kubernetes and CloudNative platforms
 * Knowledge of Nginx Apache CosmosDB Linux Prometheus Grafana and Elasticsearch
 * Experience with Infrastructure as Code tools such as Terraform ARM Chef and Ansible
 * Experience with Azure Event Hubs Kafka and Spark Streaming
 * Exposure to SIEM and SOAR platforms is advantageous
 * Experience working in highly regulated enterprise environments is preferred

Skills

Mandatory Skills : Azure, Data Engineering, Data Acquisition, Azure Data Factory, Azure Databricks, ETL, Data Pipelines, Python, SQL, Azure DevOps

## Description

* Design build and maintain largescale data pipelines and ETL workflows across enterprise datasets
 * Ingest provision and manage raw enriched and curated data assets for analytics platforms
 * Improve reliability scalability and realtime data ingestion capabilities
 * Support and enhance cloudbased data ingestion infrastructure and platform services
 * Acquire transport clean transform and integrate data from internal and external sources
 * Perform exploratory data analysis and onboard new data sources
 * Develop automated data engineering workflows and optimize data processing pipelines
 * Manage data modelling data warehousing data integration and data cataloguing activities
 * Support realtime analytics and streaming data platforms
 * Contribute to cloud infrastructure engineering platform operations and production support
 * Implement cloud cost optimization and platform efficiency improvements
 * Collaborate with engineering analytics infrastructure and cybersecurity teams
 * Support DevOps automation monitoring and operational excellence initiatives
 * Maintain documentation governance standards and operational procedures


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