

CSI GLOBAL LTD
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Sheffield, UK, on a 6-month contract with a pay rate of "£X/hour." Candidates should have 7-11 years of experience and strong skills in Azure, ETL, Python, SQL, and data pipeline automation.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 7, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
Greater Sheffield Area
-
🧠 - Skills detailed
#Databases #Programming #Data Pipeline #Scala #Data Lake #ADF (Azure Data Factory) #Bash #Kubernetes #KQL (Kusto Query Language) #Azure #IAM (Identity and Access Management) #Automation #Databricks #Grafana #Synapse #Cybersecurity #Data Cleaning #Azure Log Analytics #Kafka (Apache Kafka) #Data Engineering #Storage #Terraform #Data Ingestion #"ETL (Extract #Transform #Load)" #Logic Apps #Python #Azure Event Hubs #DevOps #Monitoring #Data Modeling #Scripting #Spark (Apache Spark) #SQL (Structured Query Language) #Azure Data Factory #Data Catalog #Linux #Azure Databricks #CHEF #Data Processing #Cloud #Azure Logic Apps #Data Integration #Security #GitHub #Infrastructure as Code (IaC) #Data Analysis #Documentation #Java #Prometheus
Role description
Senior Data Engineer
Sheffield, UK
6 Months contract
Experience 7 to 11
Responsibilitie
• sDesign build and maintain largescale data pipelines and ETL workflows across enterprise dataset
• sIngest provision and manage raw enriched and curated data assets for analytics platform
• sImprove reliability scalability and realtime data ingestion capabilitie
• sSupport and enhance cloudbased data ingestion infrastructure and platform service
• sAcquire transport clean transform and integrate data from internal and external source
• sPerform exploratory data analysis and onboard new data source
• sDevelop automated data engineering workflows and optimize data processing pipeline
• sManage data modelling data warehousing data integration and data cataloguing activitie
• sSupport realtime analytics and streaming data platform
• sContribute to cloud infrastructure engineering platform operations and production suppor
• tImplement cloud cost optimization and platform efficiency improvement
• sCollaborate with engineering analytics infrastructure and cybersecurity team
• sSupport DevOps automation monitoring and operational excellence initiative
• sMaintain documentation governance standards and operational procedure
s
To be successful in this role you should ha
• veExperience with SRE principles and Azure DevO
• psStrong scripting skills using Bash PowerShell and Azure C
• LIProgramming experience with Python C Java and objectoriented developme
• ntStrong SQL and Kusto Query Language KQL experien
• ceExperience with GitHub source control systems and CICD pipelin
• esStrong Linux administration and scripting experien
• ceKnowledge of networking operating systems storage technologies and infrastructure fundamenta
• lsExperience in Data Acquisition and CloudBased Data Pipelin
• esExperience with Data Transport Data Cleaning and Data Integrati
• onStrong Data Engineering pipeline automation productionization and optimization skil
• lsExperience designing and maintaining ETL workflows and largescale data pipelin
• esKnowledge of Data Warehousing Data Modeling and Data Catalogui
• ngExperience with RealTime Analytics and Streaming Data Platfor
• msCloud Cost Optimization experien
• ceStrong Azure platform knowledge including Azure AD Azure IAM Networking Compute Storage Databases and Containe
• rsExperience 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
• BIExperience with Kubernetes and CloudNative platfor
• msKnowledge of Nginx Apache CosmosDB Linux Prometheus Grafana and Elasticsear
• chExperience with Infrastructure as Code tools such as Terraform ARM Chef and Ansib
• leExperience with Azure Event Hubs Kafka and Spark Streami
• ngExposure to SIEM and SOAR platforms is advantageo
• usExperience working in highly regulated enterprise environments is preferr
ed
Ski
llsMandatory Skills : Azure, Data Engineering, Data Acquisition, Azure Data Factory, Azure Databricks, ETL, Data Pipelines, Python, SQL, Azure Dev
Ops
Senior Data Engineer
Sheffield, UK
6 Months contract
Experience 7 to 11
Responsibilitie
• sDesign build and maintain largescale data pipelines and ETL workflows across enterprise dataset
• sIngest provision and manage raw enriched and curated data assets for analytics platform
• sImprove reliability scalability and realtime data ingestion capabilitie
• sSupport and enhance cloudbased data ingestion infrastructure and platform service
• sAcquire transport clean transform and integrate data from internal and external source
• sPerform exploratory data analysis and onboard new data source
• sDevelop automated data engineering workflows and optimize data processing pipeline
• sManage data modelling data warehousing data integration and data cataloguing activitie
• sSupport realtime analytics and streaming data platform
• sContribute to cloud infrastructure engineering platform operations and production suppor
• tImplement cloud cost optimization and platform efficiency improvement
• sCollaborate with engineering analytics infrastructure and cybersecurity team
• sSupport DevOps automation monitoring and operational excellence initiative
• sMaintain documentation governance standards and operational procedure
s
To be successful in this role you should ha
• veExperience with SRE principles and Azure DevO
• psStrong scripting skills using Bash PowerShell and Azure C
• LIProgramming experience with Python C Java and objectoriented developme
• ntStrong SQL and Kusto Query Language KQL experien
• ceExperience with GitHub source control systems and CICD pipelin
• esStrong Linux administration and scripting experien
• ceKnowledge of networking operating systems storage technologies and infrastructure fundamenta
• lsExperience in Data Acquisition and CloudBased Data Pipelin
• esExperience with Data Transport Data Cleaning and Data Integrati
• onStrong Data Engineering pipeline automation productionization and optimization skil
• lsExperience designing and maintaining ETL workflows and largescale data pipelin
• esKnowledge of Data Warehousing Data Modeling and Data Catalogui
• ngExperience with RealTime Analytics and Streaming Data Platfor
• msCloud Cost Optimization experien
• ceStrong Azure platform knowledge including Azure AD Azure IAM Networking Compute Storage Databases and Containe
• rsExperience 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
• BIExperience with Kubernetes and CloudNative platfor
• msKnowledge of Nginx Apache CosmosDB Linux Prometheus Grafana and Elasticsear
• chExperience with Infrastructure as Code tools such as Terraform ARM Chef and Ansib
• leExperience with Azure Event Hubs Kafka and Spark Streami
• ngExposure to SIEM and SOAR platforms is advantageo
• usExperience working in highly regulated enterprise environments is preferr
ed
Ski
llsMandatory Skills : Azure, Data Engineering, Data Acquisition, Azure Data Factory, Azure Databricks, ETL, Data Pipelines, Python, SQL, Azure Dev
Ops






