

iXceed Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, hybrid in Bath, UK, on a 3-12 month contract, offering competitive pay. Key skills include AWS Glue, ETL, data modelling, and 8+ years of Data Engineering experience, specifically with AWS data platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
-
📍 - Location detailed
England, United Kingdom
-
🧠 - Skills detailed
#DevOps #Lambda (AWS Lambda) #R #Azure DevOps #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)" #Azure #Data Quality #Spark (Apache Spark) #AWS Glue #Dimensional Modelling #SageMaker #Data Ingestion #AWS Lambda #Athena #Datasets #Scala #AI (Artificial Intelligence) #Dimensional Data Models #Cloud #AWS SageMaker #BI (Business Intelligence) #Data Lake #Data Engineering
Role description
Senior Data Engineer
Location: Bath, UK (Hybrid – 3 Days Onsite)
Contract: 3-12 Months
We are looking for an experienced Senior Data Engineer to join a leading data transformation programme. The ideal candidate will have strong expertise in AWS cloud-native data platforms, ETL development, data modelling, and modern lakehouse architectures
.
Key Responsibiliti
• esDesign, develop, and optimize AWS-based data platforms and ETL pipeline
• s.Build and maintain scalable data ingestion and transformation processe
• s.Develop Medallion Architecture-based data solutions using S3, Iceberg, and Athen
• a.Implement and manage AWS Glue ETL and Data Quality solution
• s.Automate workflows using AWS Lambda and AWS Step Function
• s.Support CI/CD pipelines and release management processe
• s.Collaborate with business and technical stakeholders to deliver high-quality data solution
• s.Design dimensional data models and conformed datasets for analytics and reportin
g.
Mandatory Ski
• llsAWS Glue
• ETLAWS Glue Data Qual
• ityAWS Lam
• bdaAWS Lake Format
• ionAmazon
• S3Apache Iceb
• ergAmazon Ath
• enaAWS Step Functi
• onsPyt
• honSpark
• SQLAthena
• SQLAWS
• CLICI/CD & Release Managem
• entAzure DevOps / AWS CodeCommit / AWS CodePipel
• ineData Modelling (Dimensional Modelling, Star Schema, Conformed Dimensio
ns)
Nice to
• HaveAWS Data
• BrewAmazon Reds
• hiftAWS
• RDSAWS M
• acieAWS CloudW
• atchAmazon QuickS
• ightAWS SageMaker (Unified Studio /
• AI)Powe
r BI
Experience Req
• uired8+ years of Data Engineering exper
• ienceStrong AWS Data Platform exper
• ienceExperience building enterprise-scale data lakes and ETL pipe
• linesExcellent stakeholder management and communication s
kills
Senior Data Engineer
Location: Bath, UK (Hybrid – 3 Days Onsite)
Contract: 3-12 Months
We are looking for an experienced Senior Data Engineer to join a leading data transformation programme. The ideal candidate will have strong expertise in AWS cloud-native data platforms, ETL development, data modelling, and modern lakehouse architectures
.
Key Responsibiliti
• esDesign, develop, and optimize AWS-based data platforms and ETL pipeline
• s.Build and maintain scalable data ingestion and transformation processe
• s.Develop Medallion Architecture-based data solutions using S3, Iceberg, and Athen
• a.Implement and manage AWS Glue ETL and Data Quality solution
• s.Automate workflows using AWS Lambda and AWS Step Function
• s.Support CI/CD pipelines and release management processe
• s.Collaborate with business and technical stakeholders to deliver high-quality data solution
• s.Design dimensional data models and conformed datasets for analytics and reportin
g.
Mandatory Ski
• llsAWS Glue
• ETLAWS Glue Data Qual
• ityAWS Lam
• bdaAWS Lake Format
• ionAmazon
• S3Apache Iceb
• ergAmazon Ath
• enaAWS Step Functi
• onsPyt
• honSpark
• SQLAthena
• SQLAWS
• CLICI/CD & Release Managem
• entAzure DevOps / AWS CodeCommit / AWS CodePipel
• ineData Modelling (Dimensional Modelling, Star Schema, Conformed Dimensio
ns)
Nice to
• HaveAWS Data
• BrewAmazon Reds
• hiftAWS
• RDSAWS M
• acieAWS CloudW
• atchAmazon QuickS
• ightAWS SageMaker (Unified Studio /
• AI)Powe
r BI
Experience Req
• uired8+ years of Data Engineering exper
• ienceStrong AWS Data Platform exper
• ienceExperience building enterprise-scale data lakes and ETL pipe
• linesExcellent stakeholder management and communication s
kills





