

VE3
Senior Data Engineer (Contract) | AWS Glue & Kafka | Outside IR35
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer (Contract) for 3 months, paying "competitive rate" and located "remotely." Requires ~10 years of experience with AWS Glue, Kafka, PySpark, data modeling, and CI/CD. Strong communication skills are essential.
π - Country
United Kingdom
π± - Currency
Β£ GBP
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π° - Day rate
Unknown
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ποΈ - Date
November 7, 2025
π - Duration
3 to 6 months
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ποΈ - Location
Unknown
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π - Contract
Outside IR35
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π - Security
Unknown
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π - Location detailed
London, England, United Kingdom
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π§ - Skills detailed
#Data Modeling #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #AWS S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Infrastructure as Code (IaC) #Batch #PySpark #RDS (Amazon Relational Database Service) #IAM (Identity and Access Management) #Data Engineering #Python #S3 (Amazon Simple Storage Service) #Observability #Data Pipeline #AWS Glue #Cloud #Terraform #Security #Monitoring #Kafka (Apache Kafka)
Role description
Title: Senior Data Engineer (Contract) | AWS Glue & Kafka | Outside IR35
Length: 3 months
Start: ASAP
IR35: Outside
About The Role
Weβre seeking a hands-on Senior Data Engineer (~10 yearsβ experience) to deliver production data pipelines on AWS. Youβll design and build streaming (Kafka) and batch pipelines using Glue/EMR (PySpark), implement data contracts and quality gates, and set up CI/CD and observability. Youβve shipped real systems, coached teams, and you document as you go.
RequirementsWhat Youβll Do
β’ Architect and deliver lake/lakehouse data flows on AWS (S3 + Glue + Glue ETL/EMR).
β’ Build Kafka consumers/producers, manage schema evolution, resilience, and DLQs.
β’ Implement PySpark transformations, CDC merges, partitioning and optimization.
β’ Add quality/observability (tests, monitoring, alerting, lineage basics).
β’ Harden security (IAM least privilege, KMS, private networking).
β’ Create runbooks, diagrams, and handover materials.
What Youβll Bring
β’ Deep AWS (Glue, RDS. S3, EMR, IAM/KMS, CloudWatch).
β’ Strong Kafka (MSK/Confluent, schema registry, consumer group tuning).
β’ Python/PySpark in production with tests and CI/CD.
β’ Data modeling (bronze/silver/gold, CDC, SCD2) and data contracts.
β’ IaC (Terraform/CDK) and cost/performance tuning experience.
β’ Clear communication and stakeholder engagement.
BenefitsWhy Join Us?
β’ Work on cutting-edge technologies and impactful projects.
β’ Opportunities for career growth and development.
β’ Collaborative and inclusive work environment.
β’ Competitive salary and benefits package.
Title: Senior Data Engineer (Contract) | AWS Glue & Kafka | Outside IR35
Length: 3 months
Start: ASAP
IR35: Outside
About The Role
Weβre seeking a hands-on Senior Data Engineer (~10 yearsβ experience) to deliver production data pipelines on AWS. Youβll design and build streaming (Kafka) and batch pipelines using Glue/EMR (PySpark), implement data contracts and quality gates, and set up CI/CD and observability. Youβve shipped real systems, coached teams, and you document as you go.
RequirementsWhat Youβll Do
β’ Architect and deliver lake/lakehouse data flows on AWS (S3 + Glue + Glue ETL/EMR).
β’ Build Kafka consumers/producers, manage schema evolution, resilience, and DLQs.
β’ Implement PySpark transformations, CDC merges, partitioning and optimization.
β’ Add quality/observability (tests, monitoring, alerting, lineage basics).
β’ Harden security (IAM least privilege, KMS, private networking).
β’ Create runbooks, diagrams, and handover materials.
What Youβll Bring
β’ Deep AWS (Glue, RDS. S3, EMR, IAM/KMS, CloudWatch).
β’ Strong Kafka (MSK/Confluent, schema registry, consumer group tuning).
β’ Python/PySpark in production with tests and CI/CD.
β’ Data modeling (bronze/silver/gold, CDC, SCD2) and data contracts.
β’ IaC (Terraform/CDK) and cost/performance tuning experience.
β’ Clear communication and stakeholder engagement.
BenefitsWhy Join Us?
β’ Work on cutting-edge technologies and impactful projects.
β’ Opportunities for career growth and development.
β’ Collaborative and inclusive work environment.
β’ Competitive salary and benefits package.






