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Salary
$172k per year
Location
In office (Sheffield)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jul 31, 2026. Ltm scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Ltm

LTIMindtree is a worldwide technology consulting and digital solutions company that empowers businesses in a variety of sectors to get to the future faster by combining engineering DNA and tech expertise.

Role Senior Data Engineer

Sheffield, UK

6 Months contract

Rate: 65 GBP per hour inside IR35

Experience 7 to 11

Responsibilities

  • 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

    To be successful in this role you should have

  • 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
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